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  • 2015-2019  (177)
  • Safari, an O’Reilly Media Company.  (177)
  • Electronic videos ; local  (174)
  • Teams in the workplace
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Year
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260454420
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: The book that reveals how today’s most successful leaders turn vision into reality—featuring original interviews and profiles with Jeff Bezos, Bill Gates, Mark Zuckerberg, Steve Jobs, Reed Hastings, Brian Chesky, Mike Lawrie and Mark Pincus.
    Note: Online resource; Title from title screen (viewed June 24, 2019) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260455489
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: Award-winning ABC news anchor Dion Lim gives women the inside track on communications strategies that make or break careers
    Note: Online resource; Title from title screen (viewed October 18, 2019) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260122176
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: The groundbreaking guide to boosting efficiency and revenue in any white-collar setting—without investing in new technology. The Knowledge Work Factory provides a proven, easy-to-implement program for eliminating the Productivity Paradox—the decline in productivity that almost inevitably comes with increased investment in technology.
    Note: Online resource; Title from title screen (viewed January 8, 2019) , Mode of access: World Wide Web.
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  • 4
    ISBN: 9781260142747
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: To unleash the power of positive coaching, excellent leaders start with themselves - their own mindset, performance, assumptions, awareness, relationships, and learning. The Power of Positive Coaching addresses these aspects of self-leadership with compelling research, examples, and simple tools.
    Note: Online resource; Title from title screen (viewed January 5, 2019) , Mode of access: World Wide Web.
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  • 5
    ISBN: 9781260143157
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: The manager’s solution to boosting business growth and team effectiveness: when employees are emotional connected to the organization, personal performance skyrockets
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260142563
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: The Talent Manifesto identifies common dysfunctions in the world of talent management and presents innovative methods for bringing any HR department up to speed in today’s increasingly digitized and innovative business space. Readers learn how to redesign their HR strategies and reshape perception of talent management in order to drive their organization’s ability to compete—now and in the future.
    Note: Online resource; Title from title screen (viewed February 12, 2019) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260456820
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: The Big Stretch delivers a four-tiered self-evaluation and empowerment program for jump starting a new business, new career, or new idea—and maintaining high levels of success long-term. From concept to reality in just 90 days—The Big Stretch is a proven program anyone can use to make their personal and professional dreams come true.
    Note: Online resource; Title from title screen (viewed November 12, 2019) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    ISBN: 9781260454390
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: Use your failure, mistakes, and vulnerabilities to fund success—the proven guide to building a powerful personal brand through the fearless admission of just being human. The authors explain why vulnerability is important and how it cultivates more durable connections than any polished persona can.
    Note: Online resource; Title from title screen (viewed December 29, 2019) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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?
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 17
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 18
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 19
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 21
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Every org migrating from enterprise data centers to the cloud must discover its own path. Depending on org culture, history, tech diversity, and business model, you will need a mixed bag of techniques, an aptitude for growth mindset, and steadfastness to deal with boundary-less problems. Subbu Allamaraju shares the story of Expedia's strategic migration to the cloud at a massive scale.
    Note: Online resource; Title from title screen (viewed July 29, 2019) , Mode of access: World Wide Web.
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  • 22
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: When Julia Grace joined Slack two-and-a-half years ago, the company had fewer than 100 engineers. It's now at more than 350, and her team grew from 10 to 50 people in 18 months. Julia shares tips and stories from the leadership front lines as she learned how to rapidly scale herself and her leadership team during a period when her job was substantially changing every six months.
    Note: Online resource; Title from title screen (viewed June 10, 2019) , Mode of access: World Wide Web.
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  • 23
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this session, Angie Brown, VP of Store Technology at The Home Depot, will showcase how this leading do-it-yourself retailer is hammering the application of open source technology to build their award-winning customer experiences across their interconnected environment. You’ll hear how they use open source for their OS in stores, online search, order management, analytics and more.
    Note: Online resource; Title from title screen (viewed June 10, 2019) , Mode of access: World Wide Web.
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  • 24
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The National Security Agency (NSA) uses a lot of open source software, but it’s traditionally been a challenge for developers to navigate the processes, policy, and mechanics of contributing back to the community. Jacob DePriest explains how a group of open source evangelists are trying to strengthen the open source software ecosystem at the NSA and make it a normal part of developers’ jobs.
    Note: Online resource; Title from title screen (viewed September 2, 2019) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Understanding user listening behavior is essential for personalizing music listening experiences on Spotify. Mounia Lalmas explains how Spotify uses machine learning recommenders that take into account what and how users consume playlists and the rich diversity of playlist experiences.
    Note: Online resource; Title from title screen (viewed September 16, 2019) , Mode of access: World Wide Web.
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: How do you refactor major, core functionality in a million-line codebase without disrupting the entire system? Maude Lemaire explains how Slack overhauled channels and shares the many obstacles the company overcame to boost both application performance and company-wide developer productivity (with only a few hiccups).
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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  • 27
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Manish Mehta and Torin Sandall lead a deep dive into how Netflix enforces authorization policies (“who can do what”) at scale in its microservices ecosystem in a public cloud without introducing unreasonable latency in the request path.
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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  • 28
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The 2012 Obama campaign ran the first personalized presidential campaign in history. The data team was made up of people from diverse backgrounds who embraced data science in service of the goal. Civis Analytics emerged from this team and today enables organizations to use the same methods outside politics. Katie Malone shares lessons learned from these experiences for building effective teams.
    Note: Online resource; Title from title screen (viewed August 5, 2019) , Mode of access: World Wide Web.
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  • 29
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: When Tamar Bercovici joined Box, the entire platform was running on a single MySQL DB host fronted by a simple pool of memcached servers. Tamar details how the team has evolved the Box database stack to handle an ever-growing query load and dataset. It now comprises hundreds of servers serving millions of queries per second over hundreds of billions of data records.
    Note: Online resource; Title from title screen (viewed July 8, 2019) , Mode of access: World Wide Web.
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  • 30
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838980481
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Become a Pro in Natural Language Processing About This Video To know how Apple Siri / Google Assistant Works To know how Machine can understand Human language Help Google find bad data from good data In Detail You will learn how machine can be trained to make sense of language humans use to interact. You will come across many NLP algorithms that teach the computational models about Lexical processing, basic syntactic processing. You will learn the mechanism Google translator uses, to understand the context of language and converts to a different language. You will build a chat-bot using an open-source tool Rasa, which is a text and voice-based conversations, understand messages, hold conversations, and connect to messaging channels and APIs. You will also learn to train the model you have created on NLU. The machine cannot be trained to understand or process data by traditional hand coded programs that rely heavily on very specific conditions. The moment there is a change in input, the hand coded program is rendered useless. So, rather than having to code possible conversations, we require a model that enables the system to make sense of context. By the end of the course you will be able to build NLP models that can summarize blocks of text to extract most important ideas, sentiment analysis to extract the sentiments from given block of text, identification of type entity extracted. All the projects included in this course are Real-World projects.
    Note: Online resource; Title from title screen (viewed July 24, 2019) , Mode of access: World Wide Web.
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  • 31
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838985721
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Novice to pro in Deep Learning with Hands-on Real-World Projects About This Video Learn to implement machine learning models in Tensor Flow and Keras Complete introduction to advance level concepts in Recurrent Neural Networks (RNN) A Practical course with multiple real-life projects in Deep learning In Detail Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models. One of the most common AI techniques used for processing big data is machine learning, a self-adaptive algorithm that gets increasingly better analysis and patterns with experience or with newly added data. As more and more sources of data-generation are coming into picture, the number of file formats is increasing as well. Now, designing one model to merge data from these many sources and extract meaningful insights is not possible with traditional hand-coded programs. While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a non-linear approach. While this may sound daunting, Deep Learning algorithms handle such tasks with ease. The scope of implementation in various sectors is just limitless.
    Note: Online resource; Title from title screen (viewed July 12, 2019) , Mode of access: World Wide Web.
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  • 32
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Robert Welborn
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 51 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Fender Digital’s service infrastructure is 100% serverless. The promises of serverless include reduced costs and simplified operations, and the challenge lies in how to implement complex applications on a FaaS platform. This session covers the best practices we have established at Fender Digital to optimize function performance and ensure observability.
    Note: Online resource; Title from title screen (viewed July 1, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: At AWS, we participate in open source in several ways. We contribute to open source projects. We report bugs, contribute fixes and enhancements to a wide spectrum of projects ranging from the Linux kernel to PostgreSQL and Kubernetes. We have hundreds of projects of our own, including the security library s2n, and machine learning projects like Apache MXNet, Gluon, and ONNX.
    Note: Online resource; Title from title screen (viewed September 9, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Launched 10 years ago, the BBC's iPlayer on TV has become the largest iPlayer platform. David Buckhurst and Ross Wilson explore the evolution of the BBC's TV application architecture, from the early days courting different native technologies to the development of an open source library and standards-based platform that supports multiple BBC applications across thousands of TVs.
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Chatbots are having a moment, and banks across the world are utilizing them for everything from basic customer service to assisting internal IT support. But chatbots only skim the AI landscape. Brian Pearce explains how AI helps Wells Fargo use data in a smarter way, from developing custom experiences to uncovering new insights—with customers and employees at the center of it all.
    Note: Online resource; Title from title screen (viewed August 26, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Uber has implemented an ML and NLP system that suggests the most likely solutions to a ticket to its customer support representatives, making them faster and more accurate while providing a better user experience. Piero Molino, Huaixiu Zheng, and Yi-Chia Wang describe how Uber built the system with traditional and deep learning models and share the lessons learned along the way.
    Note: Online resource; Title from title screen (viewed August 12, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This talk is about how at The Financial Times, the Cloud Enablement team who are responsible for equipping the delivery teams with their own AWS account proactively validates the security and compliance of the FT's entire cloud estate.
    Note: Online resource; Title from title screen (viewed July 8, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In 2016, the Alan Turing Institute, the UK’s new national institute for data science and AI, announced a funded strategic multiyear research partnership with HSBC. Christine Foster and Rakshit Kapoor share insights and use cases that emerged while making this ambitious and innovative cross-sector partnership work.
    Note: Online resource; Title from title screen (viewed July 1, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Navistar built an IoT-enabled remote diagnostics platform, OnCommand Connection, to bring together data from 375,000+ vehicles in real time, in order to drive predictive analytics. This service is now being offered to fleet owners, who can monitor the health and performance of their trucks from smartphones or tablets. Join Steven Otto to learn more about Navistar's IoT and data journey.
    Note: Online resource; Title from title screen (viewed June 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Mount Sinai Health has moved up the analytics maturity chart to deliver business value in new risk models around population health. Mike Berger explains how Mount Sinai designed a team, built a data factory, and generates the analytics to drive decision-centricity and explores examples of mixing Tableau, SQL, Hive, APIs, Python, and R into a cohesive ecosystem supported by a data factory.
    Note: Online resource; Title from title screen (viewed August 19, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Google conducted the first longitudinal study of the underground ecosystem fueling credential theft and identified 12.4 million potential victims of phishing kits. Neal Mueller discusses this data and shares phishing demos and recommendations about the effectiveness of phishing prevention tools, including education, antivirus software, filtering, 2FA, password managers, and security keys.
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Decision makers are busy. Businesses can hire people to analyze data for them, but most companies are resource constrained and can’t hire a small army to look through all their data. Wayde Fleener explains how General Mills implemented automation to enable decision makers to quickly focus on the metrics that matter and cut through everything else that does not.
    Note: Online resource; Title from title screen (viewed July 29, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sid Reddy outlines Conversica’s artificial intelligence approach to creating, deploying, and continuously improving an automated sales assistant that engages in a genuinely human conversation at scale with every one of an organization’s sales leads. Sid shares empirical data to assess how personalized, responsive, and helpful the AI assistant is along with observations on the ability of the assistant to help in increasing sales. You’ll learn how an artificial intelligence assistant can free humans to focus on higher-value activities and even lead businesses to employ more people, not fewer, as a result of implementing AI. Sid covers the development of the system, which has been trained using state-of-the-art machine learning algorithms over linguistic features computed from millions of real conversations between leads and clients and explains why the assistant is successful in increasing sales, improving marketing, and gathering critical business intelligence.
    Note: Online resource; Title from title screen (viewed June 24, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Jan Neumann and Dominique Izbicki explain how Comcast uses deep learning to build virtual assistants that allow its customers to contact the company with questions or concerns and how it uses contextual information about customers and systems in a reinforcement learning framework to identify the best actions that answer these customers' questions or resolve their concerns.
    Note: Online resource; Title from title screen (viewed July 1, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Captricity has deployed a machine learning pipeline that can read handwriting at human-level accuracy. Ramesh Sridharan discusses the big ideas the company learned building and deploying this system, using data to identify specific problems to solve using AI and to evaluate and validate the algorithm itself and the overall system once deployed.
    Note: Online resource; Title from title screen (viewed July 8, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Software Development Teams in the Banking Sector in South Africa are made of a number of technical and non-technical experts. The challenge with these teams is trying to lead them to adapt to a new architecture. Reasons are either the audience does not understand the proposed architecture, or they feel they don’t have a sense of control or participation within the proposed solution.
    Note: Online resource; Title from title screen (viewed August 12, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838550448
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 51 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Dominate and take control of all the features that Palo Alto firewalls can offer to protect and secure your network About This Video Easily navigate Palo Alto’s web user interface Understand complex settings and scenarios easily Granularly monitor and take action on your network Application Command Center(ACC) This training session covers current and new features in PAN-OS 8.0.x – 8.1.x. Review and helps you understand what has changed in PAN-OS 8 In Detail Network security is not a choice; it’s a must! Palo Alto Networks is one of the top firewall platform choices when it comes to protecting and securing all your critical on-premise and cloud infrastructures. That said, it’s highly probable that you—as a Network Security Engineer—is or will be managing or deploying one in your own or your customers’ environments. This training guide will help you fully understand what tools, features, and options your Palo Alto firewalls can offer to protect and enhance visibility in your network traffic. It has been developed by someone who understands that learning every possible aspect of a technology platform can consume precious time. Why is this course perfect for you? It will get you from zero to hero in no time, so you can take full advantage of all of the features that the Palo Alto firewall platform has to offer. From initial policy configurations to configuring Nat and security rules to performing Active-Active highly available clusters, you’ll learn all there is required to set it up like a pro! After completing this training guide, you’ll feel confident that you can take full advantage of all of the features of Palo Alto firewall and most importantly, keep the bad guys out of your network.
    Note: Online resource; Title from title screen (viewed May 31, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models." Dr. Arwen Griffioen, Zendesk Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Inside: Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines This book/course requires a basic understanding of deep learning and intermediate Python skills. Hobson Lane , Cole Howard , and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Provides a great overview of current NLP tools in Python. I’ll definitely be keeping this book on hand for my own NLP work. Highly recommended! Tony Mullen, Northeastern University–Seattle An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way. Tommaso Teofili, Adobe Systems NARRATED BY MARK THOMAS
    Note: Online resource; Title from title screen (viewed April 29, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "This book should be on every C++ programmer’s desk. It’s clear, concise, and valuable." Rob Green, Bowling Green State University This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17. You choose C++ when your applications need to run fast. Well-designed concurrency makes them go even faster. C++ 17 delivers strong support for the multithreaded, multiprocessor programming required for fast graphic processing, machine learning, and other performance-sensitive tasks. This exceptional book/course unpacks the features, patterns, and best practices of production-grade C++ concurrency. C++ Concurrency in Action, Second Edition is the definitive guide to writing elegant multithreaded applications in C++. Updated for C++ 17, it carefully addresses every aspect of concurrent development, from starting new threads to designing fully functional multithreaded algorithms and data structures. Concurrency master Anthony Williams presents examples and practical tasks in every chapter, including insights that will delight even the most experienced developer. Inside: Full coverage of new C++ 17 features Starting and managing threads Synchronizing concurrent operations Designing concurrent code Debugging multithreaded applications This book/course is written for intermediate C and C++ developers. No prior experience with concurrency required. Anthony Williams has been an active member of the BSI C++ Panel since 2001 and is the developer of the just::thread Pro extensions to the C++ 11 thread library. A thorough presentation of C++ concurrency capabilities. Maurizio Tomasi, University of Milan Highly recommended for programmers who want to further their knowledge of the latest C++ standard. Frédéric Flayol, 4Pro Web C++ The guide contains snippets for everyday use in your own projects and to help take your concurrency C++ skills from the Padawan to the Jedi level. Jura Shikin, IVI Technologies NARRATED BY LISA FARINA AND DIANA GARDINER
    Note: Online resource; Title from title screen (viewed February 7, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Provides an easy to follow introduction to both computer programming and the Python language. Shawn Bolan Don’t know anything about programming? No problem! This video course is designed for people who have never written a line of computer code. Using Python, a language designed for teaching and learning how to program, you’ll learn key skills that every coder needs. First, your instructor Ana Bell guides you through installing Python onto your computer. Then, you’ll work through a few super-easy (and fun!) examples that teach you about how Python looks and works. After you get started, you’ll learn how to build programs that can automatically repeat actions and make decisions based on the conditions YOU set. You’ll get experience with the process of program writing, and learn to combine different pieces of code so that they can work together. Finishing everything off, you’ll learn ways to make your code more readable and easier to maintain in the future. This video course works perfectly alongside Ana’s book Get Programming: Learn to code with Python , each building on the other to give you a complete tour of this great language! Programming now plays a role in almost every job. It’s time to add it to your resume! Python is great for beginners, and it’s also a language that grows with you. You can use Python for everything from web development to data science. This video course will get you started the easy way! Inside: Programming skills you can use in any language Variables, expressions, and statements Getting a program to repeat tasks and make decisions Essential best practices for clean and easy to maintain code How to write programs that can interact with a mouse, keyboard, and more! No experience with programming is needed, this video course is for anyone! Ana Bell is an MIT lecturer and scientist who teaches the popular course, Introduction to Computer Science and Programming Using Python. She is also the author of Manning’s bestselling Get Programming: Learn to code with Python. This is a good introductory course to the basics of programming utilizing the Python language. Joe Houghes If you have ever wanted to learn Python, through a video course, then this is a great course to go with. Mike F. Cuddy
    Note: Online resource; Title from title screen (viewed September 27, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This book fills a gap between theory and practice...entertaining and educational. From the Foreword by Gene Kim, coauthor of The Phoenix Project Cloud Native Patterns is your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. about the technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you’ll be ready to thrive in the dynamic, distributed, virtual world of the cloud. about the book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. what's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers about the audience Requires basic software design skills and an ability to read Java or a similar language. about the author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she’s spent the last 25 years making good software and great software developers. The book’s focus on real world challenges makes this an essential manual for modern day projects. David Schmitz, Senacor Technologies Demystifies the process of building self-healing, distributed, and resilient web applications with low operational maintenance. Raveesh Sharma, Stellapps Technologies A direct and definitive guide to cloud native, with real-life experience driving the narrative. A must-read for practicing engineers who want to feel like a native in the cloud. Shanker Janakiraman, Urjanet NARRATED BY SARA...
    Note: Online resource; Title from title screen (viewed May 12, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Comprehensive and in-depth coverage of the future of AI. Simeon Leyzerzon, Excelsior Software GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks. about the technology Generative Adversarial Networks, GANs, are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other—one to generate fakes and one to spot them—GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems. about the book GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast. what's inside Building your first GAN Handling the progressive growing of GANs Practical applications of GANs Troubleshooting your system about the audience For data professionals with intermediate Python skills, and the basics of deep learning–based image processing. about the author Jakub Langr is a Computer Vision Cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a Senior Product Manager overseeing machine learning infrastructure and research teams at a New York–based startup. An incredibly useful mix of practical and academic information. Dana Robinson, The HDF Group A great systematization of the rapidly evolving and vast GAN landscape. Grigory V. Sapunov, Intento Excellent writing combined with easy-to-grasp mathematical explanations. Bachir Chihani, C3 Strikes that rare balance between an applied programming book, an academic book heavy on theory, and a conversational blog post on machine learning techniques. Dr. Erik Sapper, California Polytechnic State University NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title screen (viewed September 9, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Offers both guidelines and guidance on how to achieve a clear, consistent tone across a larger team. From the Foreword by Ross Tuck Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. about the technology Well-written OO code is a pleasure to read, modify, and debug. Elevate your coding style by mastering the universal best practices for object design presented in this book. These clearly presented rules, which apply to any OO language, maximize the clarity and durability of your codebase and increase productivity for you and your team. about the book Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. what's inside Universal design rules for a wide range of objects Best practices for testing objects A catalog of common object types Exercises for each chapter to test your object design skills about the audience For developers familiar with an object-oriented language and basic application architecture. about the author Matthias Noback is a professional web developer with nearly two decades of experience. He runs his own web deve...
    Note: Online resource; Title from title screen (viewed December 23, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838829414
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing and creating new opportunities in the mobility sector. Deep learning jobs command some of the highest salaries in the development world. This is the first and one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You’ll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered entirely by deep learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company. This course will show you how to do the following: Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car Train a perceptron-based neural network to classify between binary classes Train convolutional neural networks to identify various traffic signs Train deep neural networks to fit complex datasets Master Keras, a power neural network library written in Python Build and train a fully functional self-driving car Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course---Applied-Deep-Learning . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 4, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838985363
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights About This Video Learn Machine Learning with real-world case studies Learn complex theory, algorithms and coding libraries in a very simple way In Detail Want to become a good Data Scientist? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites.
    Note: Online resource; Title from title screen (viewed July 24, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838986612
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master Data Science skills using Python and real time project and go from Beginner to Super Advance level About This Video Master complex theories, algorithms, and coding libraries in a very simple way Master Data Science in Python In Detail Want to become a good Data Scientist? Then this is a right course for you. This course was designed by IT professionals with a Master's in Mathematics and Data Science. We cover complex theories, algorithms, and coding libraries in a very simple way so they can be easily grasped by any beginner. We walk you step-by-step through the World of Data science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advanced level.
    Note: Online resource; Title from title screen (viewed July 24, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Data friction was a major roadblock for Choice Hotels, preventing the company from achieving their strategic vision for growth and innovation. Propagating the right data to the right teams was a costly and inefficient process that took weeks of manual effort—especially during peak seasons.
    Note: Online resource; Title from title screen (viewed July 15, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Google has been doing microservices observability for more than a decade. Jaana Burcu Dogan outlines key approaches in instrumenting Google's services, shares best practices and lessons learned related to patterns, UX, performance, and security, and discusses the company's recent work to open-source its internal stack.
    Note: Online resource; Title from title screen (viewed September 16, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Michael Van Kleeck and Jason Crowe lead a frank discussion of Mozilla’s multiyear journey to take all of its apps from the data center to the cloud. Join in to hear about the adventure, in which Mozilla vanquishes a multitude of organizational and technical challenges and emerges ready to empower its mission of protecting the open internet.
    Note: Online resource; Title from title screen (viewed August 19, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
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    Abstract: Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives.
    Note: Online resource; Title from title screen (viewed June 24, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Martin Goodson and Mark St. John Qualter share the results of a yearlong feasibility study on the introduction of AI into the onboarding process at the Royal Bank of Scotland (RBS). Along the way, Martin and Mark share their experiences in translating this complex business process into a high-performance computational system.
    Note: Online resource; Title from title screen (viewed August 26, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hiring teams have long relied on intuition and experience to scout talent. Increased data and data-science techniques give us a chance to test common recruiting wisdom. Drawing on results from her recent behavioral experiments and analyses of over 10 million jobs and their outcomes, Maryam Jahanshahi illustrates how often innocuous recruiting decisions have dramatic impacts on hiring outcomes.
    Note: Online resource; Title from title screen (viewed September 2, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: What is the impact of AI and deep learning on clinical workflows? Enhao Gong and Greg Zaharchuk offer an overview of AI and deep learning technologies invented at Stanford and applied in the clinical neuroimaging workflow at Stanford Hospital, where they have provided faster, safer, cheaper, and smarter medical imaging and treatment decision making.
    Note: Online resource; Title from title screen (viewed September 9, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Quantopian integrates financial data from vendors around the globe. As the scope of its operations outgrew cron, the company turned to Apache Airflow, a distributed scheduler and task executor. James Meickle explains how in less than six months, Quantopian was able to rearchitect brittle crontabs into resilient, recoverable pipelines defined in code to which anyone could contribute.
    Note: Online resource; Title from title screen (viewed September 2, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Shaoshan Liu explains how PerceptIn built a reliable autonomous vehicle with a total cost under $10,000.
    Note: Online resource; Title from title screen (viewed August 19, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Jessica DeVita tells the story of how a team at Microsoft challenged themselves to retrospect their retrospectives and shares what they learned about applying human factors ideas to software development.
    Note: Online resource; Title from title screen (viewed August 19, 2019) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sam Helmich explains how data science can benefit from borrowing Agile principles. These benefits are compounded by structuring the team roles in such a manner to enable success without relying on employing full stack expert “unicorns.”
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Christian Monaghan explains how he and his team successfully migrated HealthCare.gov, America's largest government website, to the cloud infrastructure provisioning tool Terraform, shares lessons learned along the way, and details how you can effectively use Terraform for your next project.
    Note: Online resource; Title from title screen (viewed August 26, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The use of data throughout Cerner had taxed the company's legacy operational data store, data warehouse, and enterprise reporting pipeline to the point where it would no longer scale to meet needs. Jennifer Lim explains how Cerner modernized its corporate data platform with the use of a hybrid cloud architecture.
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Software architects and enterprise architects work with a variety of roles, and often the deep technical work is performed by other application architects or solutions architects. Maggie Carroll shares useful skills and actionable techniques for creating a new architecture function and leading other architects in developing a system of systems.
    Note: Online resource; Title from title screen (viewed July 22, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 33 min.)
    Edition: 1st edition
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    Abstract: Cashflow is responsible for 80–90% of UK SME failure. Fluidly uses the wealth of financial data available through APIs to instantly predict cashflow. Johnnie Ball details how the company built an automated cashflow engine, explores the challenges faced in applying AI to financial data, and explains how machine learning can redefine how we think about established approaches to modeling.
    Note: Online resource; Title from title screen (viewed June 10, 2019) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Dan Haywood explains how he and a tiny one-and-a-bit pizza team used Apache Isis—an implementation of the naked objects architectural pattern—to build an invoicing system, Estatio. You'll see what an Apache Isis app looks like in the flesh and learn how Dan and his team manage to keep it modular.
    Note: Online resource; Title from title screen (viewed May 30, 2019) , Mode of access: World Wide Web.
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  • 88
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Jon doesn’t just explain how C# works; he explains how the whole thing holds together as a unified design, and also points out when it doesn’t." From the Foreword by Eric Lippert, Facebook C# in Depth, Fourth Edition is your key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, you'll master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more. The powerful, flexible C# programming language is the foundation of .NET development. Even after two decades of success, it's still getting better! Exciting new features in C# 6 and 7 make it easier than ever to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. There's never been a better time to learn C# in depth. C# in Depth, Fourth Edition is a revised edition of the bestseller written by C# legend Jon Skeet. This authoritative and engaging guide is your key to unlocking this powerful language, including the new features of C# 6 and 7. In it, Jon introduces expression-bodied members, interpolated strings, pattern matching, and more. Real-world examples drive it all home. By the end of this awesome book, you'll be writing C# code with skill, style, and confidence. Inside: Comprehensive coverage of C# 6 and 7 Greatest hits of C# 2–5 Extended pass-by-reference functionality String interpolation Composition with tuples Decomposition and pattern matching This book/course is made for for intermediate C# developers. Jon Skeet is a senior software engineer at Google. He studied mathematics and computer science at Cambridge, is a recognized authority in Java and C#, and maintains the position of top contributor to Stack Overflow. Provides an excellent overview of the evolution of C# with helpful and realistic examples that make learning the newest features of C# easy. Meredith Godar, Innovative Software Engineering This book has it all—from the beginnings of C# to insights on the future of the language and everything in between! Willem van Ketwich, National Australia Bank NARRATED BY DEREK LETTMAN
    Note: Online resource; Title from title screen (viewed March 7, 2019) , Mode of access: World Wide Web.
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  • 89
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A wealth of information on general software architecture and truths that are applicable to any language. David T. Kerns, Rincon Research Corporation Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro , you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro. about the technology Professional-quality code does more than just run without bugs. It’s clean, readable, and easy to maintain. To step up from a capable Python coder to a professional developer, you need to learn industry standards for coding style, application design, and development process. That’s where this book is indispensable. about the book Practices of the Python Pro teaches you to design and write professional-quality software that’s understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes. With helpful examples and exercises, he teaches you when, why, and how to modularize your code, how to improve quality by reducing complexity, and much more. Embrace these core principles, and your code will become easier for you and others to read, maintain, and reuse. what's inside Organizing large Python projects Achieving the right levels of abstraction Writing clean, reusable code Inheritance and composition Considerations for testing and performance about the audience For readers familiar with the basics of Python, or another OO language. about the author Dane Hillard has spent the majority of his development career using Python to build web applications. Get this book, and begin to write Python code like a professional. Davide Cadamuro, BMW Group This will take a Python developer down a path to becoming a pro. Joseph Perenia, Sony Interactive Entertainment NARRATED BY LISA FARINA
    Note: Online resource; Title from title screen (viewed December 22, 2019) , Mode of access: World Wide Web.
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  • 90
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : EC-Council | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In an increasingly connected world, Identity and Access Management is critical to securing the access and availability of enterprise assets. Effective IAM ensures that the right people have access to the right assets. This comprehensive course covers the key areas of IAM, including fundamental concepts, but also the technologies and different approaches to implementing effective IAM across the enterprise, web services, and government.
    Note: Online resource; Title from title screen (viewed September 26, 2019) , Mode of access: World Wide Web.
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  • 91
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    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 92
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 93
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 94
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 95
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 96
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 97
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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!
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 98
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 99
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 100
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hari Ramamurthy and David Narayan share practical patterns Home Depot used to solve complex stream processing problems at massive scale, the technology needed, and lessons learned on the company's journey toward distributed software systems.
    Note: Online resource; Title from title screen (viewed August 19, 2019) , Mode of access: World Wide Web.
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