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  • Salon, Data  (51)
  • Newman, Sam  (33)
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  • 1
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream : Observability (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Observability—a measure of how well internal states of a system can be inferred from its outputs—is crucial for engineering, managing, and improving complex business-critical systems. Join us to learn how observability can help any software engineering team gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. About the Infrastructure & Ops Superstream Series: This four-part Superstream series guides you through what you need to know about modernizing your organization’s infrastructure and operations, with each event day covering different topics and lasting no more than four hours. They’re packed with the expert insights, skills, and tools that will help you effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. What you’ll learn and how you can apply it Gain a deeper understanding of system performance so you can perform ongoing maintenance and ship the features your customers need Understand how to build an observability-driven development practice Discover how your production services are really performing right now This recording of a live event is for you because… You’re a developer who wants to learn the basics of observability and how to use it in your system. You want to better understand how observability can be used with data. You want to know what the future holds for observability and infrastructure and operations. Recommended follow-up: Read Observability Engineering (book) Read Kubernetes Security and Observability (book) Watch Observability at Google (video) Read Linux Observability with BPF (book) (Watch Case Study: How Lightstep Implemented Observability (recorded event))
    Anmerkung: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 2
    Online-Ressource
    Online-Ressource
    Infrastructure and Ops Hour with Sam Newman : Incident Analysis and Resilience Engineering with Jessica DeVita (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Incidents are inevitable in complex systems, but learning from these events shouldn’t require assigning blame. Workers on the front lines have much to contribute to a company’s understanding of how failures happen—and to how to prevent them from happening in the future. Join us for a special conversation about resilience engineering with Sam Newman and incident analysis pro Jessica DeVita. They’ll discuss what resilience engineering is and why it matters for infrastructure and operations in particular, walk you through how to learn from incidents while maintaining your teams’ cohesion, and explain how to use that knowledge to drive design decisions with intentionality. They’ll spend a few minutes covering the trends that are influencing infrastructure, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around incident analysis See what’s coming next for infrastructure and ops This live event is for you because… You’re looking for ways to improve your incident response and engineering environment. You want to learn about the foundations of resilience engineering, a discipline that combines safety science with human factors, and understand why resilience depends more on people than on technology. Recommended follow-up: Read 97 Things Every SRE Should Know (book) Read Incident Metrics in SRE (report) Watch Infrastructure & Ops Superstream Series: SRE Edition (recorded Superstream event)
    Anmerkung: Online resource; Title from title screen (viewed January 5, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 3
    Online-Ressource
    Online-Ressource
    Infrastructure and Ops Hour with Sam Newman : SLO with Alex Hidalgo (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Service-level objectives (SLOs) are a key component of the service-level agreement (SLA) between your business and your customers. SLOs define the level of service you’ve agreed to provide and offer a means to measure that service. As such, they’re critical for ensuring reliability...if used correctly. Join us for a special conversation on SLOs with Sam Newman and site reliability engineer Alex Hidalgo. You’ll learn how to build an SLO-based approach to reliability at your own organization as you explore everything from the concepts, philosophies, and definitions you need to know to the various components of SLOs, how to use them successfully, why they work, and how you can make them work for you. Along the way, Sam and Alex will also discuss some of the more complicated aspects of implementing an SLO-based approach, including how to create meaningful service-level indicators (SLIs) and how to assign accurate SLO targets so that you get useful alerts for your team—and company-wide buy-in. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SLOs and SRE What’s coming next for infrastructure and ops This recording of a live event is for you because… You want to learn how to use SLOs at your company to improve resilience. You’re looking for ways to improve your incident response and engineering environment. Recommended follow-up: Read Implementing Service Level Objectives (book)
    Anmerkung: Online resource; Title from title screen (viewed February 7, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 4
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour : GitOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on GitOps with Sam Newman and Weaveworks founder Alexis Richardson. They’ll share what led to the need for GitOps, fascinating aspects of the discipline, and interesting convergence areas—along with insights that will help you approach the most challenging aspects of building and managing evolving architectural needs. This is your chance to ask Sam and Alexis anything you want about GitOps, Kubernetes, or their own career journeys. They’ll spend a few minutes covering the trends that are influencing infrastructure and operations, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Explore the origins of GitOps and understand why it’s needed See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Alexis Richardson your questions around working using GitOps. You’re looking for ways to use GitOps to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites: Come with your questions for Sam Newman and Alexis Richardson Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Building Microservices , second edition (book) Read Version Control with Git , second edition (book) Read Kubernetes: Up and Running , second edition (book) Watch “ GitOps 101 ” (conference session) Attend GitOps First Steps (live online training course with Ian Miell) Attend Git Next Steps (live online training course with Raju Gandhi)
    Anmerkung: Online resource; Title from title screen (viewed March 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 5
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour with Sam Newman : Microservices and Ops with Chris O'Dell (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on Kubernetes with Sam Newman and Chris O’Dell. They’ll discuss the tools you need to succeed with a microservices-style architecture, how to handle the challenges in deployment, and the trends that are impacting your organization’s deployment practices and culture. What you'll learn-and how you can apply it Explore the origins of microservices and why they’re needed Understand the challenges you may encounter implementing microservices See what’s coming next for infrastructure and ops This training course is for you because... You’re looking for ways to improve monitoring of your microservices to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Building Microservices , second edition (book) Read Microservices: Up and Running (book) Read SRE with Java Microservices (book)
    Anmerkung: Online resource; Title from title screen (viewed June 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 6
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour with Sam Newman : Cloud Providers and Sustainability with Anne Currie (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on sustainability with Sam Newman and longtime technologist Anne Currie. They’ll discuss cloud providers and the environmental impact of software, how an individual developer’s choices can impact sustainability, and the trends that are impacting organizations’ deployment practices and culture. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around sustainability See what’s coming next for infrastructure and ops This course is for you because… You have questions about limiting the environmental impact of your technology choices. You’re looking for ways to improve your cloud environment to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Recommended follow-up: Read Design Patterns for Cloud Native Applications (book) Read Cloud Native Transformation (book) Read 97 Things Every Cloud Engineer Should Know (book)
    Anmerkung: Online resource; Title from title screen (viewed July 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 7
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour : SRE with Tammy Butow (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on site reliability engineering with Sam Newman and Gremlin principal SRE Tammy Butow. They’ll chat about SRE best practices and challenges, building resilient systems, chaos engineering, facilitating controlled experiments to identify systemic weaknesses, and more. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around SRE What’s coming next for infrastructure and ops This course is for you because… You want the chance to ask Sam Newman and Tammy Butow your questions around SRE and chaos engineering. You’re looking for ways to improve your systems and mitigate weaknesses. You want to become well-versed in the foundations and best practices of pipeline creation. Recommended follow-up: Read Chaos Engineering (book) Read Security Chaos Engineering (report) Read Site Reliability Engineering (book)
    Anmerkung: Online resource; Title from title screen (viewed August 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 8
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour : Dev and App Security with Tanya Janca (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Join us for a special conversation on security with Sam Newman and Tanya Janca, founder of We Hack Purple. They’ll chat about DevSecOps, how to implement continuous security throughout your entire software development and delivery pipeline, and more. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around security See what’s coming next for infrastructure and ops This recording of a live event is for you because… You want the chance to ask Sam Newman and Tanya Janca your questions around dev and app security. You’re looking for ways to improve your systems and to mitigate security risks. You want to become well-versed in the foundations and best practices of pipeline creation. Recommended follow-up: Read Learning DevSecOps (early release book) Read Security Chaos Engineering (report) Read Container Security (book) Read DevSecOps in Kubernetes (report)
    Anmerkung: Online resource; Title from title screen (viewed October 6, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 9
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream Series : Cloud Engineering for Operations (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 16 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: While cloud isn’t a new technology, the move to the cloud has accelerated...and has become increasingly complex. Ops engineers need to build new skills and knowledge: What are the pain points of moving to the cloud, and how do security and safety change? And how do you give power to developers while still ensuring secure and reliable deployments? Join us for a Superstream on the cloud, with sessions covering everything from strategy to security and automation. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand how data works in the cloud See what tools work best for cloud native CI/CD Learn configuration management strategies to increase system robustness Discover strategies to help ensure a successful cloud native transformation Explore secret change management techniques and tools This Superstream is for you because... You’re a developer looking to better understand the skills needed to work on infrastructure in the cloud. You want to better understand cloud providers and security options. You work in a cloud native environment and want to understand how CI/CD tools work best with this extra complexity. You want to learn more about testing and automation in the cloud. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Practical Process Automation (book) Read Cultivating Cloud Outcomes (early release book) Read 97 Things Every Cloud Engineer Should Know (book) Read " Patterns for Development and Process " (chapter 9 in Cloud Native Transformation )
    Anmerkung: Online resource; Title from title screen (viewed April 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 10
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream Series : What's Next for Infrastructure and Operations? (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 15 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: What’s in store for infrastructure and operations in the future? Where’s the field headed? And what technologies will take us there? Join us for this recording of a live event covering some of the key changes you can expect to see in the world of infrastructure and operations. You’ll learn about the trends and new technologies that will shape how you deliver software and meet the needs of your business and customers in the coming years, with a focus on the emerging ideas and tools that you can make use of right now. Whether you’re looking for cutting-edge techniques for today or want to get ahead of the game for tomorrow, this is the event for you. What you’ll learn and how you can apply it Explore the technologies that will shape the future of infrastructure and operations Learn how to employ new technologies and stay ahead of the curve This recording of a live event is for you because… You’re a developer who wants to know what’s coming next for infrastructure and operations. You want to better understand new technologies such as data mesh and eBPF. You need to apply continuous delivery principles to make the end-to-end process of developing and deploying ML systems more repeatable and reliable. Recommended follow-up: Read Data Mesh (book) Read Container Security (book) Read Building Machine Learning Pipelines (book) Read Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, second edition (book) Read Linux Observability with BPF (book)
    Anmerkung: Online resource; Title from title screen (viewed November 17, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 11
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour : DevSecOps with Patrick Debois (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 60 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on Kubernetes with Sam Newman and longtime DevOps pro Patrick Debois. They’ll discuss DevSecOps best practices, how to develop a security-focused approach to your organization’s software development, and the trends that are impacting your organization’s deployment practices and culture—along with insights intended to help you learn how to approach the most challenging aspects of building and managing evolving software needs. What you'll learn-and how you can apply it Explore the origins of DevSecOps Understand why DevSecOps is needed See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Patrick Debois your questions about using DevSecOps. You’re looking for ways to use DevSecOps to support your production goals. You want to become well versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read DevOpsSec (report) Watch Spotlight on Cloud: DevSecOps Lessons Learned with Zane Lackey (video, 58m) Read Securing DevOps (book) Watch “ Security Is Everybody’s Job ” (recorded Superstream session with Tanya Janca) Read “ Welcome to the Agile Revolution ” (chapter 3 in Agile Application Security)
    Anmerkung: Online resource; Title from title screen (viewed May 5, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 12
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream Series : Creating Your Kubernetes Platform (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The path to implementing Kubernetes to build and deploy applications isn’t always evident. After all, different orgs have different needs. Get some clarity and learn how to make the most of all that Kubernetes offers—from what to expect in your first few weeks to detailed war stories from the front lines to extending Kubernetes’s functionality with operators and more.
    Anmerkung: Online resource; Title from title screen (viewed May 26, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 13
    Online-Ressource
    Online-Ressource
    Software Architecture Superstream Series : Software Architecture Fundamentals—Comparing Architectural Styles (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Sponsored by NGINX Architecture styles are important...and abundant. To make the right choice for a particular business problem, an architect must be familiar with all the various styles and the trade-offs encapsulated within each. No wonder that understanding them occupies much of the time and effort of new architects. Jumpstart your learning and join us for four hours of sessions on some of the most popular and useful architectural styles and how to implement them at your organization. About the Software Architecture Superstream Series: This six-part series of half-day online events focuses on the hottest topics in software architecture, giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. What you’ll learn and how you can apply it Explore techniques to analyze and select the right architecture style for your business and engineering teams Learn how to diagram and document an architectural solution Better understand a variety of architecture styles so that you can champion architecture decisions to developers and stakeholders This recording of a live event is for you because… You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand when to use different architectural styles. Recommended follow-up: Read The Software Architect Elevator (book) Read Dynamic Reteaming , second edition (book) Read Microservices Patterns (book) Take Mastering Technical Presentations by Example (live online training course with Neal Ford) Read Fundamentals of Software Architecture (book) Read Building Microservices , second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book) Take Software Architecture by Example (live online training course with Mark Richards and Neal Ford) Take Architecture: The Hard Parts (live online training course with Mark Richards and Neal Ford) Take Microservice Fundamentals (live online training course with Sam Newman)
    Anmerkung: Online resource; Title from title screen (viewed September 15, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 14
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream Series : CI/CD (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The combination of modern distributed architectures and cloud environments offers powerful solutions for delivering applications that quickly yield business value. . .and increased complexity. Moving quickly and not breaking things means that you need deployment pipelines. How do you ensure your releases don’t bring down production? Enter CI (continuous integration) and CD (continuous delivery), which greatly improve visibility of the quality of your software while also greatly reducing the time taken between releases. Join us to learn how CI/CD can help you achieve new levels of velocity, agility, reliability, and efficiency in your projects and systems. About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you'll learn-and how you can apply it Understand what tools work best for CI/CD and cloud native Learn how CI/CD works in the deployment pipeline Discover how infrastructure as code can help you deliver services to your users This Superstream is for you because... You’re a developer looking to discover the advantages of CI/CD. You want to better understand infrastructure as code. You work in a cloud native environment and want to learn which CI/CD tools work best with this extra complexity. You want to better incorporate testing and automation in your CI/CD pipeline. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Infrastructure as Code , second edition (book) Read Building Microservices , second edition (book) Read What Is DevOps? (report)
    Anmerkung: Online resource; Title from title screen (viewed February 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 15
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Hour : Kubernetes Complexity with Katie Gamanji (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on Kubernetes with Sam Newman and Katie Gamanji, the ecosystem advocate for the CNCF. They’ll discuss how to manage some of the complexity in your Kubernetes cluster and share fascinating aspects of the discipline, interesting convergence areas, and insights intended to help you learn how to approach the most challenging aspects of building and managing evolving software needs. This is your chance to ask Sam and Katie anything you want about Kubernetes and their own career journeys. They’ll spend a few minutes covering the trends that are influencing infrastructure and operations, then tell you what you need to know to stay ahead of the curve. What you'll learn-and how you can apply it Understand why Kubernetes is needed Discover how to manage the complexity in your Kubernetes cluster See what’s coming next for infrastructure and ops This training course is for you because... You want the chance to ask Sam Newman and Katie Gamanji your questions around working using Kubernetes tools. You’re looking for ways to use Kubernetes to support your production goals. You want to become well-versed in the foundations and best practices of pipeline creation and deployment. Prerequisites Come with your questions for Sam Newman and Katie Gamanji Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up Read Kubernetes: Up and Running , second edition (book) Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Take Kubernetes in 3 Weeks: Parts I and II (live online training course with Jonathan Johnson) Take Building and Managing Kubernetes Applications (live online training course with Sébastien Goasguen)
    Anmerkung: Online resource; Title from title screen (viewed April 14, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 16
    Online-Ressource
    Online-Ressource
    Infrastructure & Ops Superstream Series : Microservices & DevOps (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The main reason to pick a microservice architecture is the ability to change things independently. It means getting fixes and updates to software live more quickly, but it can also help improve your organizational autonomy. In these sessions you’ll learn how microservices allow you to own more of the lifecycle of your software, create more products, and get them out faster.
    Anmerkung: Online resource; Title from title screen (viewed July 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 17
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    Infrastructure and Ops Hour with Sam Newman : Multi-Cloud with Gregor Hohpe (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Join us for a special conversation on multicloud with Sam Newman and software architecture pro Gregor Hohpe. They’ll chat about the benefits and challenges of multicloud architecture within the context of thinking more critically about lock-in and vendor selection. They’ll also dive into the potential challenges of hybrid/multicloud solutions, including latency, the cost of avoiding lock-in, and the difference between building a hybrid app and having a multicloud strategy. Sam and Gregor will spend a few minutes covering the trends that are influencing infrastructure, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around cloud solutions and strategy See what’s coming next for infrastructure and ops This live event is for you because… You want the chance to ask Sam Newman and Gregor Hohpe your questions around cloud strategy. You’re looking to improve your systems and mitigate weaknesses. You want to become well-versed in the foundations and best practices of working in the cloud and on-premises. Recommended follow-up: Read Cloud Native (book) Read Hybrid and Multicloud Management (report) Read The Software Architect Elevator (book) or listen to the audio book
    Anmerkung: Online resource; Title from title screen (viewed September 1, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 18
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    Infrastructure & Ops Superstream Series : Building Security Into Your Development Lifecycle (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 12 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Sponsored by Aqua and Palo Alto Networks Security can’t be added in at the end. We need to build it into everything we do (“pull left”). So how can developers get involved in building safer, more secure software? And what new skills do you need to learn to do so? About the Infrastructure & Ops Superstream Series: This five-part series of half-day online events details what you need to know to effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures—with no interruption to your business. Each event day covers some of the most challenging and promising topics facing those working in infrastructure and operations today: continuous integration and delivery, cloud delivery, Kubernetes, microservices, and security. What you’ll learn and how you can apply it Discover which tools work best for responding to threats Understand how to develop a cybersecurity strategy Learn how to recover from an attack on Kubernetes This recording of a live event is for you because… You need to protect your systems from attacks by ransomware and emerging threats. You want to better understand the emerging threats landscape and what you can do to minimize and respond to attacks. You work with distributed systems and want to learn how to secure containers and Kubernetes. Recommended follow-up: Read “ Security, Permissions, and Privacy ” (chapter 9 in Learning Serverless ) Read Kubernetes Security and Observability (early release book) Read Hacking Kubernetes (early release book) Read “ Security and Backups ” (chapter 11 in Cloud Native DevOps with Kubernetes ) Read Building Microservices , second edition (book) Read Learning DevSecOps (early release book) Take Kubernetes Fundamentals in 3 Weeks (live online training course with Jon Johnson)
    Anmerkung: Online resource; Title from title screen (viewed September 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 19
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    Infrastructure and Ops Hour with Sam Newman : Distributed Systems with Nicky Wrightson (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Join us for a special conversation on distributed systems with Sam Newman and cloud native architecture pro Nicky Wrightson. Working on a huge scale means a whole different set of problems to solve while still striving to keep systems operable, cost-effective, and maintainable. Nicky and Sam will walk you through some of the challenges of working with distributed systems before discussing why operability should be a first-class concern when developing large distributed systems, how to reduce the support overhead needed for complex distributed systems, and more. Then they’ll open the floor for questions. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around distributed systems See what’s coming next for infrastructure and ops This recording of a live event is for you because… You want the chance to ask Sam Newman and Nicky Wrightson your questions around distributed systems. You’re looking for ways to improve your production environments. Recommended follow-up: Read Scalability and Concurrency for Distributed Systems (book) Read Building Microservices , second edition (book) Read Designing Distributed Systems (book) Read Distributed Systems Observability (report)
    Anmerkung: Online resource; Title from title screen (viewed November 15, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 20
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    Infrastructure and Ops Hour with Sam Newman : Building Successful Engineering Communities with Emily Webber (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos
    Kurzfassung: Join us for a special conversation on building successful communities with Sam Newman and Agile consultant and coach Emily Webber. They’ll chat about the benefits of communities of practice, which include accelerating professional development, breaking down organizational silos, enabling knowledge sharing and management, building better practices, helping to hire and retain staff, and making people happier. Then they’ll open the floor for questions. This is a chance for you to ask Sam and Emily anything you want about their own career journeys or about using communities to facilitate good collaboration between teams. They’ll spend a few minutes covering the trends that are influencing infrastructure, then tell you what you need to know to stay ahead of the curve. What you’ll learn and how you can apply it Explore the origins of, need for, and challenges around team collaboration See what’s coming next for infrastructure and ops This recording of a live event is for you because… You’re looking for ways to improve your team culture. Recommended follow-up: Read Dynamic Reteaming (book) Read Agile Conversations (book) Take Managing Team Conflict (live online training course with Jennifer Stine) Take Mastering Communication Skills for Virtual Environments (live online training course with Zina O’Leary)
    Anmerkung: Online resource; Title from title screen (viewed December 1, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 21
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    Building Microservices, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (400 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 22
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    Od monolitu do mikrousług (2020)
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    Details
    ISBN: 9788328367234
    Sprache: Englisch , Polnisch
    Seiten: 1 online resource (232 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Mikrousługi są relatywnie świeżą koncepcją w świecie systemów IT, mimo to coraz więcej organizacji decyduje się na wdrażanie opartej na nich architektury. Uznaje się, że zapewnia ona wówczas lepszą skalowalność, łatwość łączenia poszczególnych niezależnych elementów, a przede wszystkim możliwość szybszej reakcji na zmiany i skuteczniejsze wdrażanie nowych funkcjonalności. Zanim jednak organizacja da się skusić tymi obietnicami, powinna gruntownie przeanalizować swoją sytuację i decyzję o ewentualnej migracji systemu oprzeć na racjonalnych przesłankach. Konieczne jest również opracowanie planu takiego przejścia, zwłaszcza jeśli nie można sobie pozwolić na dłuższe przestoje w działalności.
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 23
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    Model Monitoring Pipelines (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Boryana Manz – Manager, Data Science at Capital One Model monitoring can make or break how models empower and deliver business value. This talk will highlight the key components for the proactive design of integrated and flexible model monitoring. It will include best practices for making the process seamless, flexible and actionable.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 24
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    Meet the Expert : Sam Newman on Transitioning to Microservices (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: If you’re new to microservices, you probably have some questions, like “When should you use them?” and “Where do you even start?” Expert Sam Newman will help you take the first steps on your microservices journey. In just one hour, you’ll explore critical aspects of the monolith-to-microservice transition, understand how to frame a transition to microservices, and learn how to get started. Recorded on March 18, 2020. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Anmerkung: Online resource; Title from title screen (viewed April 16, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 25
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    IoT and Analytics Condition Based Maintenance (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Stanislaw Schmal Combining IoT and sensor analytics opens a new world of operations and maintenance efficiency. A real-world demonstrator of audio analytics and customized IoT device will be shown and its business application to condition based maintenance will be discussed in this session.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 26
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    Who will fight for AI in Healthcare (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 36 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Amy Daali - Chair at IEEE Engineering in Medicine & Biology Society With recent advancements in artificial intelligence, the healthcare industry is primed to benefit significantly from Machine Learning and Deep Learning technologies. This talk will answer the burning question on who is going to fight for AI in healthcare? New concepts such as “DIY healthcare” will be explored. We will discuss key important players who are going to lead the battle and drive AI adoption in 2020. Together, we will navigate the current Health Technology Landscape and uncover the different challenges that are preventing the implementation of AI. We will conclude the talk by exploring how we can improve collaboration between the Data Science and Medical community to speed up AI adoption in healthcare.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 27
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    Process Automation using Machine Learning (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Raktim Saha – Director, Digital Insights, CGI The focus of this talk is to showcase how Machine learning and AI is leveraged to radically outperform traditional loan-underwriting acceptance process for one of the largest lenders in US by utilizing a broader set of market, demographic, and various events data. Implementing an automated data-driven process in a large Enterprise and especially in a highly regulated industry has its own challenge spanning from data collection to accuracy of insights, and finally streamline the overall process. The speaker will cover the business, data, and technical aspects of this implementation.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 28
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    Leveraging Entity Resolution to Identify Customers in 3rd Party Data (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Kelsey Redman – AVP, Data Science at Comerica Bank Purchasing 3rd party data on individuals can give great insights on customers, but first we have to know which individuals from that outside data source are actually customers and which are just prospects. Without a unique identifier like SSN or Driver’s License number from the 3rd party data, we have to use a combination of name, address, and demographic information to identify the matching customer. Between nicknames, misspelled names and addresses, and family members with similar names all at one address, this quickly becomes a difficult task involving heavy data cleanup and an increasingly complicated series of rules. In this presentation, we demonstrate some techniques to help resolve these entities across data sources by employing the use of supervised classification machine learning techniques to quantify and predict entity “likeness.” We showcase some of the challenges we faced with exploring other entity resolution methods, with manually labeling a comprehensive training set, and how this approach might extend to solve other data issues.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 29
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    Real Time, Contextual and Personalized Recommendations (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stores to have the most personalized experience with easier product discovery. To enable this, I have built recommendation systems based on live and past user behavior and with minimal infrastructure. The talk features two main areas: 1. How to work with minimal data, implicit feedback and business to build recommender systems that satisfy users needs while keeping in mind overarching business KPIs 2. How to use real stream of events and past indications to give a completely personalized experience that can keep updating based on user interaction with minimal architectural requirements.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 30
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    Dark Data & AI Pipelines to Drive Ad Sales & Grow Audiences (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Paul Barrett - Managing Director, Accenture Applied Intelligence Personalization drives more relevant conversations with advertisers and audiences. The key to personalization is data, algorithms and offers. Algorithms feed off data. The data environment is becoming more competitive and more regulated. AI at scale makes it possible to utilize internal and external data sources that were previously too complicated, too expensive or too big. The Dark Data sources can now be utilized to: • Enhance sales leads to drive better propensity scoring, better targeting and drive better sales interactions • Create a deeper understanding of audiences to create more relevant microsegments for better targeting, messaging and greater engagement. Companies that can master AI at scale can create Real-time Analytical Pipelines turning data science into Ai Enhanced customer interactions. Growing sales, Engagement and other key metrics. This talk will cover how companies are leveraging Dark Data and Ai pipelines to transform analytics into Ai enhanced interactions.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 31
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    Learning Node Embeddings in Transaction Networks (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Jesse Barbour – Chief Data Scientist at Q2ebanking Due to the specialized and sophisticated nature of many commercially focused financial products offered by banks and fintechs, building recommender systems around those products is especially difficult. Taking inspiration from the field of neural language modeling, we will discuss an application of learning node embeddings on a large-scale financial transaction graph in order to solve this problem.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 32
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    Minority Report : Can we predict emergencies (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital Forecasting is widely used in a number of business, but can it be used to optimize operations in an emergency department? This talk will walk through the development of a forecasting model to predict future arrivals to the emergency department. We will review the fundamentals of forecasting, discuss feature engineering, and how to get your first forecast off the ground.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 33
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    All Models are Wrong, but Some are Useful. Especially with the Right Data (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 18 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Alex Schwarm – VP/Head of Data Science at Dun & Bradstreet For many teams, the most challenging step in delivering useful results, is less about the modeling techniques and methods and more about having access to the right data with the appropriate data coverage of the domain of interest. In this talk, we will describe two specific use cases where data pays a crucial role: one around identifying supply chain risks and one related to prospect targeting. For the supply chain risk use case, we will describe how access to unique data assets reveals the impact of the Coronavirus on supply chains and how this impacts global businesses. We will also describe how some companies are offering data scientists the ability to access data to determine which data assets best solve their business analytics and modeling needs, with a particular focus on prospect targeting.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 34
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    New Frontiers in ML driven Customer Intelligence (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Seemit Sheth – Head of Data Science at Capital One Micah Price – Principal Associate Data Scientist at Capital One Capital One is one of the pioneers of ‘Information based strategy’ which is essentially what we call today as data science. The world of data science in banking has evolved over time and now data science powers strategies in many diverse areas of a bank, aided by cutting-edge technologies. In this talk, we will go over a glimpse of its past, present and how it is changing banking for good as we move toward the future. In particular, we will also explore how cutting-edge algorithms and technologies are improving customer experiences.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 35
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    Leveraging Machine Learning and Open Data for Smart Cities (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility This presentation discusses how AI, machine learning and data publicly available is playing a role in smart cities, walking through applications developed using ML to solve practical transportation for smart cities globally.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 36
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    Applied Machine Learning for Spreading Financial Statements (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 22 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Moody Hadi – Group Manager – Financial Engineering at S&P Global Market Intelligence Counterparty financial statements, particularly for small and medium enterprises can be difficult to handle. Financial analysts need to be able to distill out relevant line items in order to calculate their credit exposure to a counterparty for lending purposes. The solution solves a labor intensive, expert driven inefficient process and frees up the analysts to focus on their high value add operations. This involves combining Optical Character Recognition using pre-trained language neural networks, with context sensitive semantic matching. We will go over the developed ML pipleline and architecture.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 37
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    O'Reilly Infrastructure & Ops Superstream Series : Microservices (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Kubernetes radically changed the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. These sessions will show you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. What you'll learn-and how you can apply it Explore Kubernetes fundamentals Understand what to focus on during your first few weeks with Kubernetes Learn what’s different in a VM-based world and what’s remained largely the same See what’s coming next for Kubernetes This Superstream is for you because... You’re a developer looking to get started with Kubernetes You use Kubernetes and want to learn more about what’s coming next You want to become well-versed in the foundations and best practices of Kubernetes Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Read Kubernetes Up and Running, second edition (book) Take Kubernetes in Three Weeks—Parts I and II (live online training courses with Jonathan Johnson)
    Anmerkung: Online resource; Title from title screen (viewed November 20, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 38
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    O'Reilly Infrastructure & Ops Superstream Series : Security Edition 9/23/2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 13 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: About the Infrastructure & Ops Superstream Series : This four-part series of half-day online events covers the most challenging and promising topics facing those working in infrastructure and operations today: site reliability engineering, security, Kubernetes, and microservices. Security is everyone’s responsibility. These sessions will get you up to speed with key techniques and best practices for securing your applications, systems, and organization. Discover how to better assess threats and develop a security-aware mindset. Learn how to detect and prevent risks and find application vulnerabilities. And explore pragmatic approaches for adding security to your delivery pipeline. What you'll learn-and how you can apply it Explore the fundamentals of security, including how to improve security within your organization Learn how to assess potential security risks that could affect your deployments with containers Understand how security should work with DevOps Discover how to evaluate your cloud environment for misconfiguration vulnerabilities and address them without slowing down innovation or removing the power that cloud computing delivers This Superstream is for you because... You’re a developer new to or looking to enter a security role. You want to learn about DevSecOps. You want to get started with bug hunting. You want to become well-versed in the foundations and best practices of security. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Container Security (book) Read Web Application Security (book) Read Practical Cloud Security (book) Take Windows Network Security Fundamentals (live online training course with Glenn Weadock)
    Anmerkung: Online resource; Title from title screen (viewed October 5, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 39
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    Online-Ressource
    Vom Monolithen zu Microservices (2020)
    [Erscheinungsort nicht ermittelbar] : dpunkt | Boston, MA : Safari
    Details
    Sprache: Englisch , Deutsch
    Seiten: 1 online resource (266 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Bestehende Systeme erfolgreich in eine Microservices-Architektur umgestalten
    Anmerkung: Online resource; Title from title page (viewed October 28, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 40
    Online-Ressource
    Online-Ressource
    O'Reilly Infrastructure & Ops Superstream Series : Kubernetes (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 18 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Kubernetes radically changed the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. These sessions will show you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. What you'll learn-and how you can apply it Explore Kubernetes fundamentals Understand what to focus on during your first few weeks with Kubernetes Learn what’s different in a VM-based world and what’s remained largely the same See what’s coming next for Kubernetes This Superstream is for you because... You’re a developer looking to get started with Kubernetes You use Kubernetes and want to learn more about what’s coming next You want to become well-versed in the foundations and best practices of Kubernetes Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Read Kubernetes Up and Running, second edition (book) Take Kubernetes in Three Weeks—Parts I and II (live online training courses with Jonathan Johnson)
    Anmerkung: Online resource; Title from title screen (viewed October 23, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 41
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    Software Architecture Superstream Series : Software Architecture Fundamentals (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: This three-part series of half-day online events, hosted by chair Neal Ford, focuses on the hottest topics in software architecture-including microservices, essential architecture principles, and event-driven architecture and domain-driven design-giving you the insights to keep pace with what's next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. In Part 1, Software Architecture Fundamentals, the sessions give you a solid grasp of the fundamentals, preparing you to implement the strategies that will help your organization increase performance, reduce costs, manage complexity, build in resilience and scalability, and speed time to market. The four sessions from Rebecca Parsons, Nathaniel Schutta, Mark Richards and Sam Newman provide insight, advice, and essential knowledge you need to transition from developer to architect. About the presenters: Neal Ford is a director, software architect, and meme wrangler at ThoughtWorks, a software company and a community of passionate, purpose-led individuals who think disruptively to deliver technology to address the toughest challenges, all while seeking to revolutionize the IT industry and create positive social change. He's an internationally recognized expert on software development and delivery, especially in the intersection of Agile engineering techniques and software architecture. Neal has authored seven books (and counting), a number of magazine articles, and dozens of video presentations and spoken at hundreds of developers conferences worldwide. His topics include software architecture, continuous delivery, functional programming, cutting-edge software innovations, and a business-focused book and video on improving technical presentations. Check out his website, Nealford.com. Rebecca Parsons is CTO at ThoughtWorks. Rebecca has more than 30 years' experience leading the creation of large-scale distributed, services-based applications and the integration of disparate systems. Previously, she was an assistant professor of computer science at the University of Central Florida and a director's postdoctoral fellow at the Los Alamos National Laboratory. Rebecca's interests include parallel and distributed computation, programming languages, domain-specific languages, evolutionary architecture, genetic algorithms, and computational scien...
    Anmerkung: Online resource; Title from title screen (viewed June 18, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 42
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    Infrastructure & Ops Superstream Series : SRE Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: This four-part series of half-day online events, hosted by chair Sam Newman, covers the most challenging and promising topics facing those working in infrastructure and operations today: Site reliability engineering Security Kubernetes Microservices Site reliability engineering (SRE) is the practice of ensuring a company's digital assets remain stable, performant, and resilient. Given that all companies rely on a digital presence these days, SRE is becoming increasingly vital to the engineering teams supporting the sites- and ultimately the business. In this edition of the O'Reilly Infrastructure & Ops Superstream Series, Liz Fong-Jones, Eric Zielinski, Jason Patterson, Debbie Wood and Randy Shoup introduce you to SRE concepts and best practices so that you can learn how to put them to work in your organization. About the presenters: After spending time at multiple startups and 12 years at ThoughtWorks, Sam Newman is now an independent consultant. Specializing in microservices, cloud, and continuous delivery, Sam helps clients deliver software faster and more reliably through training and consulting. Sam is an experienced speaker who has spoken at conferences across the world and is the author of Building Microservices _and _Monolith to Microservices both from O'Reilly. Sam is also chair of the O'Reilly Infrastructure & Ops Superstream Series. Liz Fong-Jones is a developer advocate, labor and ethics organizer, and site reliability engineer (SRE) with 16+ years of experience. She's an advocate at Honeycomb for the SRE and observability communities and previously was an SRE working on products ranging from the Google Cloud Load Balancer to Google Flights. She lives in Brooklyn with her wife Elly, metamours, and a Samoyed-golden retriever mix and in San Francisco and Seattle with her other partners. She plays classical piano, leads an EVE Online alliance, and advocates for transgender rights as a board member of the National Center for Transgender Equality. Eric Zielinski leads the cloud delivery organization at Nationwide, where his teams are responsible for cloud infrastructure, containers, security, and site reliability. With over 20 years of industry experience leading advanced infrastructure operations, engineering, and cybersecurity, Eric is in his 15th year at Nationwide where he has worked across the company to deliver a portfolio of products and technologies including cloud platforms, security automation, self-service adoption, and DevOp...
    Anmerkung: Online resource; Title from title screen (viewed June 29, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 43
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    Hands on Inquiry into Algorithmic Bias and Machine Learning Interpretability (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 35 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Fatih Akici - Manager, Risk Analytics and Data Science at Populus Financial Group As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more prominent problem in today's world. The position of executives and data science leaders to this issue is generally reactive, in that, companies solely respond to the requirements coming from regulatory agencies. In this presentation, I am going to argue why the leaders should be proactive in identifying biases and how they will benefit from fixing them. I will demonstrate my point on an applied example.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 44
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    Monolith to Microservices (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781492047810 , 1492047813 , 9781492047797 , 1492047791
    Sprache: Englisch
    Seiten: 1 online resource (284 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    DDC: 005.1
    Schlagwort(e): Application software Development ; Computer architecture ; Distributed operating systems (Computers) ; Computer software Development ; Software patterns ; Electronic books ; local ; Logiciels d'application ; Développement ; Ordinateurs ; Architecture ; Systèmes d'exploitation répartis ; Logiciels ; Modèles de conception ; Application software ; Development ; Computer architecture ; Computer software ; Development ; Distributed operating systems (Computers) ; Software patterns
    Kurzfassung: How do you detangle a monolithic system and migrate it to a microservices architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices , this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more
    Anmerkung: Online resource; Title from title page (viewed November 25, 2019)
    URL: lizenzpflichtig
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  • 45
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    Using Deep Learning to Build a Unified E-commerce Marketplace (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Ali Vanderveld, Director of Data Science at ShopRunner ShopRunner is an e-commerce company that receives feeds of product data from over 100 different retailer partners, including large department stores and retailers that specialize in electronics, appliances, nutritional products, and more. In order to provide a great user experience on our website and in our mobile app, we need to have one easy-to-navigate product taxonomy. We also would like to have sets of attribute tags that make it easy to filter down to exactly what any shopper is looking for. In this talk I will describe how we are using computer vision and natural language processing to place all of the products from our retailer partners into one easy-to-navigate shopping experience.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 46
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    Privacy and Algorithmic Fairness (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Manojit Nand – Senior Data Scientist at JPMorgan Chase & Co. Understanding how algorithms can reinforce societal biases has become an important topic in data science. Recent work for auditing models for fairness often requires access to potentially sensitive demographic information, placing algorithmic fairness in conflict with individual privacy. For example, gender recognition technology struggles to recognize the gender of transgender individuals. To develop more accurate models, we require information that could “out” these individuals, putting their social, psychological, and physical safety at risk. We will discuss social science perspectives on privacy and how these paradigms can be incorporated into statistical measures of anonymity. I will emphasize the importance of ensuring safety and privacy of all individuals represented in our data, even at the cost of model fairness.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 47
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    The Care and Feeding of Data Scientists (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 33 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Michelangelo D’Agostino, VP of Data Science & Engineering at ShopRunner Data scientists are hard to hire. But too often, companies struggle to find the right talent only to make avoidable mistakes that cause their best data scientists to leave. From organizational structure and leadership considerations to tooling and infrastructure to avoiding FOMO through continuing education, I’ll share concrete (and inexpensive) tips for keeping your data scientists engaged, productive, and performing their best for your business.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 48
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    Operationalize ML by Empowering People (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Jeff Sharpe – Manager / Master Software Engineer at Capital One Niraj Tank – Sr. Manager, Software Engineering at Capital One We have been working on operationalizing ML for past few years at CapitalOne Bank and would like to share our experiences and lessons we learned in building an ML platform, in our talk we plan to cover: — Self-Service for Data Scientists — Treat models, policies & features as content, not software, and allow live updates to content — Provide software engineering best practices to ML content(s) — How to meet enterprise need at scale — Lightweight services — Re-use models, data, and business logic wherever possible — Containerize software to simplify scaling — Multi-layer abstractions — Respond to real time events — Keep data in close proximity — Focus on low-latency communication and fast computations — Architect high-reliability services Some of the questions this session intend to answer: – Every FinTech enterprise needs to operationalize ML but most of them don’t know where to start, how to deliver and more importantly what not to do? – What architecture choices to explore and what tools to build to satisfy demanding needs of a thriving data science organization. – How can you build ways to include data scientists in the agile development process, leveraging their expertise in feature engineering while enabling them to take part in DevOps practices without needing full DevOps experience.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 49
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    Literate Statistical Programming is not Just About Reproducibility (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by John Peach, Sr Data Scientist at Amazon Alexa Science is facing a crisis around reproducibility and data science is not immune. Literate Statistical Programming is a workflow that binds the code used in an analysis to the interpretation of the results. While this creates reproducibility it also addresses issues around, auditing, re-usability and allows for rapid iteration and experimentation. This talk will describe a workflow that I have successfully used on small-scale data-sets in start-ups and on Amazon-scale problems in my work on Alexa. The talk will cover the tooling, workflow, and the philosophy you need to master Literate Statistical Programming.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 50
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    AI and the Index Management Problem (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Douglas Hamilton – Chief Data Scientist, NASDAQ’s Machine Intelligence Lab Over the last decade, hundreds of billions of dollars of capital have retreated from active to passive management, driven in part by investors seeking lower management fees. With this we have seen rapid growth in the index and exchange traded fund space, leading to the development of several distinct classes. At least one of these classes, Smart Beta, is ripe for AI augmentation. We outline the unique challenges of index management and discuss the application of Information Theory, Machine Learning, and Optimization in solving those challenges.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 51
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    Search Engine in Startups : What to Optimize (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Liang Wu, Machine Learning Data Scientist at Airbnb Choosing the correct optimization metric is key to success of a search engine. Unlike in traditional web searches, where clicks are clearly the main objective to optimize, many emerging vertical search engines like E-Commerce search may require a different optimization metric, such as conversions, revenue, and quality. Selection of a good metric may depend on the query type (transactional vs. navigational vs. informational) and also on the goal of a business (profitability vs. growth). For example, a typical product search engine may focus on maximizing the number of transactions and total revenue, while navigational search may aim at minimizing the total number of clicks. In this talk, we will investigate factors needed to be considered when we are in search for a good metric, and we will also walk through an example of designing an optimization metric for a particular business, including how it is selected, mathematically defined, and optimized with a machine learning framework.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 52
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    Product(ive) Data Science (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Julie Hollek, Sr Data Scientist at Twitter Data scientists are the people behind the scenes, helping others deliver better, smarter results in their daily work. This is especially true for product data scientists who must hone their craft to determine what things are working for a given product, where do we want to take it next, and how can we make product decisions aligned with company is trying to build? Cross-functional communications are critical to success in this role; you need to be able to craft a message that is born out of math to make compelling arguments that are digestible by stakeholders across the business. In this session, we’ll define Product Data Science and discuss contributing factors to success.
    Anmerkung: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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  • 53
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    Challenges in Machine Learning from Model Building to Deployment at Scale (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Anupama Joshi Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platform that allows model management and deployment easily and reliably is becoming a necessity for organizations to accelerate product development. In this talk, I will talk about the challenges faced and the solutions used to make this process easy.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 54
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    AI and ML for the Data Quality of Clinical Trial Studies (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Hemalatha B Raju – Lead Data Scientist at Biorasi Running a clinical trial is always very complex. But with the implementation of machine learning we can significantly improve the efficiency of clinical trial development. Machine learning logic and algorithms can help us advance the patient selection process for clinical trials, improve the data quality, reduce the time and cost in the execution of clinical trials. for accurate predictions of outcomes using pattern recognition. Machine learning algorithms could be potentially applied to develop comprehensive risk-based monitoring tools, fraud detection pipeline, on-study analytics models and solutions for various clinical trials that alerts the clinical monitors and the pharmaceutical companies about the quality of clinical sites . Clinical data can also be reviewed at aggregate level regularly throughout assigned studies using analytical reporting tools to support the identification of risks and data trends. The rules-based logic could be used throughout the clinical trial studies to analyze the primary and secondary endpoints, required for the safety and efficacy analysis of the investigational drug and thus improve the efficiency of clinical trial studies.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 55
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    Apply Natural Language Processing in Segmenting Online Audience (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 13 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Jasmine Ngo, Mgr, Analytics & Marketing Science at Deutsch Sometimes, conversations on social media don’t reflect the mass’ sentiments accurately (think about people who rarely use Twitter or have a public profile on Facebook). That’s when local news come into play – local articles can sometimes reflect sentiments on certain topics by specific areas. By scraping thousands of articles online and using NLP / other methodologies to analyze them, we can get interesting insights on different topic. This talk introduces a tool to do that.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 56
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    The AI Knobs, Tips and Tricks to Jumpstart AI projects (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Anusua Trivedi, Sr Data Scientist Lead, AI for Good at Microsoft AI serves the purpose of enabling human beings in making better decisions. In this session, we talk about how the actions of AI are the result of the human inputs going into its programming. We talk about how an AI’s bias is not its own, but the human bias with which it has been programmed. We emphasize the choice of the right metric and the type of data used for testing and training to avoid such bias. We discuss the need to understand the dependence between the data used and the models employed and optimize only areas that matter. We discuss how to focus on feature engineering and be thoughtful about the ethics of ML applications. Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 57
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    Utilizing Data and Data Science to Optimize Tune In (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Diane Leung, Principal, Analytics Innovation at Altman Vilandrie & Company Measuring and optimizing tune-in is critically important for the media and entertainment industries. This discussion focuses on best practices for utilizing data and machine learning to optimize tune-in on national linear inventory. In order to do this properly, advertisers need to unify their marketing ecosystem, design a holistic measurement approach, and break down barriers for closed-loop, incremental measurement. In this session you will learn how to: 1) Create a framework for utilizing data and machine learning to maximize tune-in and 2) Overcome analytical obstacles created from fragmented and incomplete data.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 58
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    Rocky Journey to AI Adoption (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Sangeeta Krishnan – Former Director, Enterprise Data Management & Strategy at Asembia Artificial Intelligence (AI) is the current buzz word across all industries. Marvin Minsky’s definition of AI describes it as the science of making machines do things that would normally require human intelligence. However, the opinions are split across two camps. On one side we hear about new AI gadgets getting introduced in the market that would empower and improve our lives. At the same time, there are stories of AI companies going bankrupt like the recent closure of AI powered clock – Bonjour. Any digital technology has its own risks such as Cyber Security, Data Privacy Protection, apart from protecting the interests and careers of the human workforce. When you attempt to transform data into answers, many questions erupt. AI is a combination of techniques that includes Data Analytics and Predictive Analytics. Many organizations start their Analytics and AI journey without implementing the discovery phase of defining clear achievable business values. This results in most of the R&D budget to evaporate in experimental pitfalls with no real gain, resulting in AI being non-productive. It is imperative for any organization to discuss and focus on certain fundamental areas and challenges before embarking on the AI journey. This presentation would give a detailed overview of the areas that need to be addressed for the AI journey to be successful beyond PoC (Proof of Concept). It would demystify AI from an implementation stand point and would cover multiple aspects to demonstrate the current capabilities of AI technologies. It would also put out a road map for the industries to have a smooth journey to the AI world. The presentation would discuss the entire spread of activities such as budgeting, risk mitigation, training and many more.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 59
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    How to Automate Pricing with Machine Learning : Challenges and Learnings Jennifer Est (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 22 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Jennifer Esteche, Machine Learning Research Engineer at Tryolabs Determining prices for retail products manually is an extremely time-consuming process and leads to neither cost-effective nor consistent pricing. In this talk, we will introduce you to the tremendous potential of machine learning for automated pricing. We will share our learnings from building a machine learning system able to determine prices based on product metadata and images, implemented by a large online consignment marketplace. As a result, the company prices more than half of the products in their catalog automatically. You will learn what kind of data is valuable for an automated pricing system, what machine learning models can be used, some major challenges in building an intelligent pricing system and how to overcome them. Further, we will explore opportunities on how retailers can use machine learning for optimizing their prices for revenue.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 60
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    Data Science That Works, Building Impactful Products for Media Clients (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Lauren Lombardo - Senior Data Scientist at Nielsen Products underpinned by traditional statistical methods, big data, and artificial intelligence increasingly provide new and unique insight into the rapidly growing media landscape. How can you make sure that your product will have the impact that you expect it to? What factors do you need to consider when developing a product to ensure that the tool is understood by the market and used appropriately? To what extent is this the concern of a data scientist? This talk will discuss how these questions apply to those hoping to deliver data-oriented insight to the media and entertainment industry.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 61
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    How I Learned to Stop Worrying and Love Graph Databases (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital Healthcare data is highly connected but often lives in silos. Graph databases are promising emerging technologies for working with highly connected data. This talk will introduce data scientists to Neo4j—the leading graph database—and will discuss a proof of concept implementation at New York Presbyterian and will demonstrate some of the network analyses we were able to do as a result. This talk will be developer/data scientist focused and will include code snippets. We will introduce the graph data model and loading data into the database. We will discuss the pros and cons of graph databases. We will finish off with some practical examples from out proof of concept including community detection algorithms, using centrality to find providers who may be spreading infections, and examining physician referral patterns. Participants will leave being able to describe a graph database. They should be able to identify situations that may benefit from implementing a graph database. Finally, they should be able to create a simple graph model.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 62
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    Data Science Conde Nast AI Infrastructure and Applications (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Sriram Subramanian - Head of Data Sciences at Condé Nast At Conde Nast, we have several AI/ML solutions spanning multiple business areas of the company: advertising, subscriptions, audience engagement and personalization. These solutions use different methodologies, software libraries and run in an automated manner. To manage all of this, we have developed our own purpose built AI infrastructure to support enterprise wide ML/AI applications. We will also cover a couple of applications that leverage this infrastructure and their business impact.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 63
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    A Product Development Approach to Improving Data Quality (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Dalela Bharati – Product Owner, Data & Analytics at Booking.com Poor data quality (DQ) is crippling to any data scientist. Especially organisation wide complex DQ challenges for fundamental datasets that can take months to fix. This talk/ session outlines the product development approach we adopted to solving a DQ challenge at Booking.com
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 64
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    Ad Planning & Operations : Predictive Analytics for Resource Allocation (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Leondra James, Mgr, Analytics & Operations at Saatchi & Saatchi Saatchi & Saatchi is global, full service advertising agency / creative communications network. Learn about the interesting questions they’re asking and how they’re leveraging data to answer them. Entails broad overview of predicting advertising initiative resources and their respective allocations.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 65
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    The Open Data Science Platform (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 25 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Andy Terrel at Numfocus NumFOCUS currently represents 26 sponsored and 24 affiliated open scientific coding projects. Glancing at them from a distance, one might have to squint a bit to see a pattern emerge. In truth, the community doesn’t mind that at all, out of the variety comes innovation. Beyond the logos and stickers, what is this community actually doing? I present the various projects and argue that we have inadvertently created one of the most successful data science platforms in existence. From this vantage point, I pose some tough questions the community needs to answer: How can we present that platform more fully? How should we organize ourselves to make our work more valuable? How do we avoid a collapse of our communities?
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  • 66
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    Machine Learning and Data Monetization (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Robert Welborn
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 67
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    Improving the Worlds Largest Online Grocery Catalog : A Data Science Story (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Ishant Nayer, Sr Data Scientist at Instacart Being a data-driven company, Instacart realizes the power of good quality data. While trying to maximize the efficiency of data consumption by all work streams such as recommendation systems and availability systems, we are trying to make our Catalog the best in the world by delivering precise information to all our end-users including shoppers and consumers. This session will cover the following areas: 1. How we used data science to auto-detect inconsistencies in the data attributes of millions of items comprising the Catalog, in real-time. 2. How we defined and utilized North Star metrics to optimize data quality of our Catalog 3. Different approaches being used to deliver a great customer experience.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 68
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    Personalization at Scale with AI (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Ayan Bhattacharya - Advanced Analytics Specialist Leader, Deloitte Consulting Conversational AI is the application of a combination of AI and cognitive services including Natural Language Processing, Speech Recognition and Intent Classification. It is focused on bringing voice, chat, and personal assistant technologies to intelligently automate human and technology interactions and improve client’s business outcomes as well as engagement with customers. There are varying levels of complexity in the virtual agents or chatbots; some are designed for answering common questions while others have a more complex architecture which includes the ability to disambiguate complex dialog and integrate with machine learning algorithms. The current marketplace for Conversational AI is being driven by cloud enabled platforms such as AWS, GCP, Azure and Watson; and there are over 2000 companies that have started developing their own niche industry solutions.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 69
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    Just Ask : Designing intent driven algos (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Anna Schneider, Data Science Manager at Stitch Fix Classic recommender systems are great for answering the question “what does a user want in general?”. However, they only get you partway to an answer to “what does a user want right now?”. To close the gap, it helps to capture and act on real-time user intent. I’ll share two examples of this paradigm, and the resulting changes to our algorithms and architectures at Stitch Fix.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 70
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    Fraud Prevention from the Ground up (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Jason Dolatshahi – Director of Data Science at Stash Stash is the digital platform for saving & investing that promises financial inclusion for all. When we launched our checking account at the end of last year, we already had millions of customers, but we were about to make first contact with a formidable new foe: bank fraud. As a data science team, how do you develop and deploy a model when the dimensions of the problem are brand new and changing quickly? How do you ensure your stakeholders have the information they need to manage the liability risk to the business? How do you keep the user experience delightful while keeping out bad actors? Come find out!
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  • 71
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    Data and AI for Emerging Platforms (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Kabir Seth - VP Machine Learning & AI Strategy, Wall Street Journal & Alex Siegman - AI Technical Program Manager, Dow Jones Walking through the steps necessary to appropriately leverage AI in a large organization, including tips and tricks for identifying business opportunities that lend themselves to AI, as well as best practices for each step of the AI project management process, all while navigating complex organizational structures.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 72
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    Automated Feature Engineering (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 18 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Namita Lokare Feature engineering plays a significant role in the success of a machine learning model. Most of the effort in training a model goes into data preparation and choosing the right representation. In this talk, I will focus on a robust feature engineering method, Randomized Union of Locally Linear Subspaces (RULLS). We generate sparse, non-negative, and rotation invariant features in an unsupervised fashion. RULLS aggregates features from a random union of subspaces by describing each point using globally chosen landmarks. These landmarks serve as anchor points for choosing subspaces. Our method provides a way to select features that are relevant in the neighborhood around these chosen landmarks. Distances from each data point to k closest landmarks are encoded in the feature matrix. The final feature representation is a union of features from all chosen subspaces. The effectiveness of our algorithm is shown on various real-world datasets for tasks such as clustering and classification of raw data and in the presence of noise. We compare our method with existing feature generation methods. Results show a high performance of our method on both classification and clustering tasks.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 73
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    Algorithmic Recommendations at The New York Times (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Anna Coenen Algorithmic curating at the Times brings many unique challenges. We want our recommendations to feel personal and relevant, but not creepy. We want articles to be timely, yet also showcase older pieces that our readers still enjoy. We want to increase engagement, but without sacrificing editorial judgment. This talk describes how we achieved these goals through a combination of Machine Learning, experimentation, and diligent editorial curation.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 74
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    Keys to Leading Highly Effective Data Science Teams (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Darby Laffoon – Sr Manager, Big Data Platform Engineering at Charles Schwab In this session, we will walk through the various aspects of how to build and manage effective data science teams, and how to navigate the many challenges that come with such an undertaking. While there is no right or wrong, experience tells us that there are a multitude of ways to approach any challenge therein, and that’s where we will focus much of our energy.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 75
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    Deep Learning Applications in the Biosciences (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Charles Alcorn – Head of Data Science at Roche Molecular Systems Oncology diagnostics and treatment is a rapidly changing field of medicine with new advancements announced almost daily. The number of diagnostic tests to select treatments based on a patient’s unique genetic mutations and tumor pathology characteristics has grown, as have the number of therapies available. These therapies can be matched to a patient’s likelihood to respond to treatment based on the results from diagnostic tests. Estimates indicate that Oncologists would have to read the literature continuously around the clock 365 days a year to maintain their knowledge of new diagnostic tests and treatments. Further, diagnostic testing and treatment as well as associated treatment guidelines vary by patient population and country. This talk will describe medical content management concepts for the field of Oncology including data architecture, data curation, adopting to differing-and-ever-changing treatment guidelines, capture of up-to-date regulatory information, and country-specific examples. The roadmap that we are developing to support Clinical Decision Support Software in a Global Marketplace for our products and services will be described.
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  • 76
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    The Tabloid Proteome : Orthogonal use of public proteomics data to derive biologically related protein network (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Surya Gupta – Postdoctoral Researcher at VIB-UGent Mass-spectrometry based proteomics experiments produces large amounts of data. While typically acquired to answer specific biological questions, these data can also be reused in orthogonal ways to reveal biological knowledge. We have developed a novel method for such orthogonal data reuse of public proteomics data to detect biologically associated protein pairs. Mass-spectrometry proteomics experiments were obtained and reprocessed from the PRIDE database. For the identified proteins, we calculated the co-occurrence score, using Jaccard similarity. Protein pairs with score of atleast 0.4 were mapped to five knowledgebases; Reactome, Ensembl, IntAct, BioGRID, and CORUM, to assign potential biological relevance. Of the 2325 protein pairs that pass the Jaccard similarity threshold, we 81% of protein pairs with biological annotation (68% with five knowledgebases and 13% with GO terms). While comparison with randomly selected protein pairs, less than 2% protein pairs were found to be annotated. Furthermore, to extend the usability and accessibility of the detected protein pairs for research community, an online database called Tabloid Proteome was established. Our approach shows that by re-using publically available data in a fully orthogonal way, effectively treating these data as a proteome-wide association study, we can extract various biologically meaningful patterns, which moreover, were quite complementary to associations detected by established protein-protein interaction techniques. Additionally, Tabloid Proteome features a simple yet powerful web interface that allows fast and easy access to all these protein associations, with their possible biological annotation.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 77
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    Machine Learning & AI : Demystified for TV Advertising (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Diane Yu, CTO and Cofounder at FreeWheel, Comcast As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data represented in the natural document format that is not machine-readable. Another requirement is validating and ensuring that the data is of high-quality since it is required for building models for predictions, classifications, and various analytics tasks. This talk will cover ways in which data science and machine learning can be used to address these two challenges: (1) ingesting your data by extracting what is contained in natural document format and (2) cleaning your ingested data.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 78
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    Interpretable Predictive Models in the Healthcare Domain (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Sridharan Kamalakannan, Head of Data Science at Humana Predictive models are often used to identify individuals that will likely have escalating health severity in the future and accordingly deliver appropriate interventions. However, for the clinicians and care managers, these predictive models often act as a black-box at an individual level. The reason for this being, typically predictive models use combinations of complicated algorithms that makes it hard to explain the reason behind a predictive model score at an individual level. This talk will focus on model and feature agnostic methodologies and techniques that help uncover the drivers behind a prediction at a personal level in a healthcare setting.
    Anmerkung: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 79
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    Enabling Better Shopping Experiences Using Technology, Data, & Fashion Attributes (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Rhonda Textor, Head of Data Science at True Fit Recent advances in technology such as computer vision, deep learning, and recommender systems are being used to enable new shopping experiences. Examples include visual search, recommending similar items, and recommending items that other shoppers also viewed. However, technology alone without an understanding of shoppers, fashion, and retail falls short of solving shopping recommendation problems. We at True Fit believe that details matter, especially for modeling individual fashion preferences. Because of that, we have built the largest fashion and retail dataset called the Fashion Genome. In this talk, I will share some insights we have gained from the Fashion Genome that have influenced our approach to building fashion recommendation systems. I will also show how we leverage the fashion details of products, i.e., our Fashion Attributes, to combine fashion and technology to make great recommendations. Finally, I will share how we leverage our large dataset and cutting edge technology to enable personalized shopping experiences.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 80
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    Content Similarity (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Sylvia Tran, Data Scientist at Gracenote User preferences and content similarity are both key to recommendation systems. While content similarity has been widely explored and utilized by many companies in the media & entertainment industries, it still remains relevant as the amount of data and metadata available continues to grow and change. This talk discusses some of the challenges of content similarity and explores a few different attribute groups (aside from genre and cast) by which content similarity can be measured. Traditional attributes, like genre and cast alone, may not be as additive as they once were. More specifically, movies like Ted (starring Mark Wahlberg) and Shaun of the Dead do not neatly fit into a single genre. This talk also demonstrates how certain tried and true similarity metrics still yield meaningful and reasonably interpretable results for media & entertainment.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 81
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    What Are Microservices? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (38 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Microservices have become an increasingly popular architecture choice over the past five years. With the ability to deliver software faster and support newer technologies, these independently releasable services give software architects, programmers, and developers more freedom to react, make different decisions, and respond faster to change. In this report, you'll explore the benefits of microservices and their limitations. You'll learn what microservices are, how they work, and why this approach is different than other ways of decomposing your architecture. Author Sam Newman ( Building Microservices , Monolith to Microservices ) explains that while many companies have shown how effective microservices can be, this architecture also adds a lot of complexity to your system. This report helps you determine if microservices are right for your organization. Learn the key concepts of a microservices architecture Examine microservice advantages, including robustness, scaling, and ease of deployment Contrast microservices with single-process, modular, and distributed monoliths Explore enabling technologies such as containers and Kubernetes, streaming, public cloud, and serverless Understand microservice pain points: technology overhead, monitoring and troubleshooting, security, and data consistency Learn situations where microservices work well-and situations where they don't
    Anmerkung: Online resource; Title from title page (viewed December 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492074946/?ar
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  • 82
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    Recent Advances in NLP and How they Impact Trading (2018)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Brittany Rockwell Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the improvements of computational power, data storage and algorithmic efficiency, we have more data and modelling capacity at our disposal than ever before. A natural consequence of these changes is the exponential growth of available data. There is a growing need for automating the data exploration and identification process for low-latency downstream applications requiring timely forecasting or decision making. This talk will discuss some of the new advances in NLP and their relevance to text-driven trading.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2018) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 83
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    マイクロサービスアーキテクチャ (2016)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Japan, Inc. | Boston, MA : Safari
    Details
    ISBN: 9784873117607
    Sprache: Englisch , Japanisch
    Seiten: 1 online resource (344 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: マイクロサービスとは、ThoughtWorks社のマーチン・ファウラーとジェームス・ルイスが最初に提唱したソフトウェアアーキテクチャです。モノリシック（一枚岩）なアーキテクチャを、ビジネス機能に沿って複数の小さい「マイクロサービス」に分割し、それらを連携させるアーキテクチャにすることで、迅速なデプロイ、優れた回復性やスケーラビリティといった利点を実現しようとするものです。本書は、マイクロサービスとは何か、その長所と短所、定義と概念、設計思想、アーキテクトの役割から、分割、デプロイ、テスト、監視、セキュリティといった個別の技術までを、マイクロサービスを採用しているNetflixやAmazonといった企業の事例を交えながら紹介します。
    Anmerkung: Online resource; Title from title page (viewed February 25, 2016) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 84
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    What are microservices? (2016)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Sprache: Englisch
    Seiten: 1 online resource (20 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: Microservices are small, autonomous services that work together. Many organizations have found that by adopting fine-grained microservice architectures they can deliver software faster and embrace newer technologies. Microservices give us significantly more freedom to react and make different decisions, allowing us to respond faster to the inevitable change that impacts all of us. This lesson focuses on understanding microservices, the benefits they can bring, and their limitations. What you'll learn—and how you can apply it You'll learn what microservices are, understand their benefits, and explore how a microservice approach is different from other ways of decomposing your architecture. You'll also learn why microservices are not a silver bullet. This lesson is for you because… You're a manager of a technical team whose organization is adopting a microservices approach, and you need to learn more. You're a software architect, programmer, developer, or team leader who is interested in learning more about microservices. Readers who have already embarked on the journey toward finer-grained architectures, whether for a greenfield application or as part of decomposing an existing, more monolithic system, will find plenty of practical advice to help. It will also help those who want to know what all the fuss is about—they can determine whether microservices are right for them. Prerequisites Interest in the topic Materials or downloads needed in advance None This lesson is taken from Building Microservices by Sam Newman. About the instructor Sam Newman is a technologist at ThoughtWorks, where he currently splits his time between encouraging and sharing innovation globally and helping design and build their internal systems. He has worked with a variety of companies in multiple domains around the world, often with one foot in the developer world, and another in the IT operations space. If you asked him what he does, he'd say "I work with people to build better software systems." He has written articles, presented at conferences, and sporadically commits to open source projects.
    Anmerkung: Online resource; Title from title page (viewed August 15, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491965252/?ar
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