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  • [Erscheinungsort nicht ermittelbar] : Data Science Salon  (17)
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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Chris Lindner - Manager, Product Science at Indeed Over the past decade, data science has exploded as a lucrative, high-demand career. During this time, we've seen rapid expansion in both the demand for data scientists, and for the number of individuals trying to get into the field. But what exactly does the title "data scientist" even mean? Who are these "data scientists," and where do they come from? Are we becoming overly flooded with data science candidates? What emerging trends do we see as more and more jobseekers enter the market to meet this growing demand? Indeed is the world's #1 job site. Using our data on job postings, searches, and resumes, I'll try to explore the answers to some of these questions, and paint a picture of what the job market looks like today, and where it is going in 2020 and beyond.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 3.5 Hours of Video Instruction Prepare for Exam MS-900 Microsoft 365 Fundamentals and demonstrate your foundational-level knowledge of cloud services and the Software as a Service (SaaS) cloud model. Overview This engaging, self-paced instructional video course introduces you to available cloud options and the benefits and considerations in implementing Microsoft 365 cloud service offerings. Gain the knowledge required to recommend solutions for common IT scenarios and differentiate Microsoft 365 solutions from the competition. If you're planning to take Exam MS-900 Microsoft 365 Fundamentals, this video course covers the skills measured by the exam in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. Topics Include Lesson 1: Describe Cloud Concepts Lesson 2: Describe Core Microsoft 365 Services and Concepts Lesson 3: Describe Security, Compliance, Privacy, and Trust Options in Microsoft 365 Lesson 4: Describe Microsoft 365 Pricing and Support Options About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in the Windows Server 2019 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 and Exam Ref MD-101 Managing Modern Desktops and the author of Exam Ref 70-741 Networking with Windows Server 2016 and Exam Ref 70-742 Identity with Windows Server 2016 published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset where he runs his own IT training and education consultancy. Skill Level Beginner Learn How To Describe cloud concepts Describe core Microsoft 365 services and concepts Explain security, compliance, privacy, and trust in Microsoft 365 Describe Microsoft 365 pricing and support Who Should Take This Course IT administrators and business users who need to master the basics of cloud concepts and services IT professionals who need to understand and explain core Microsoft 365 services, pricing, and support IT professionals who need to understand and explain security, compliance, privacy, and trust...
    Anmerkung: Online resource; Title from title screen (viewed July 30, 2020) , Mode of access: World Wide Web.
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Bookkeeping is an established process businesses need to follow in order to keep track of their financials and tax returns. When translating a machine learning model into what a customer considers to be 'kept books' and what a bookkeeper considers to be 'kept books' variability and a dependency on the customer-bookkeeper relationship come into play. Some of this can be handled by education and process changes, but other elements can be instilled by creating a logic that is applied before, during and after a machine learning model to control for the various types of error. The presentation will go over the ways we can apply logical algorithms outside of the central model to improve the central model, and create a less error-prone training set and output.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 4
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The gaming industry, and the entertainment industry as a whole, is a relentless battle for the human attention span. From acquiring the "right" audience to providing the "right" content, a game's success hinges on identifying what is "right" better than your competition. Applying proper research techniques, identifying opportunities within this research, and devising smarter delivery systems to users require constant evolution in technology and methodology. In this talk, I will discuss how Zynga's data science team has risen to this challenge, incorporating interdisciplinary techniques to fit the needs of our live-game operations.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 5
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 35 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Fatih Akici - Manager, Risk Analytics and Data Science at Populus Financial Group As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more prominent problem in today's world. The position of executives and data science leaders to this issue is generally reactive, in that, companies solely respond to the requirements coming from regulatory agencies. In this presentation, I am going to argue why the leaders should be proactive in identifying biases and how they will benefit from fixing them. I will demonstrate my point on an applied example.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 6
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 22 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Caitlin Hudon - Lead Data Scientist at OnlineMedEd Before AI, before machine learning and pipelines, and before dashboards and BI, an organization starts with a pile of data, some business questions, and a few ideas on how to connect the two - a greenfield, and an entry point for data science. Answering business questions and turning raw data into insights, models, and products means more than just writing code and doing analysis. A successful data science team needs tools, a communication strategy, thoughtful infrastructure, and a plan to deliver on their goals. This talk will cover how to tackle greenfield data science challenges from the perspective of the first data science hire in an organization, and how to build data science infrastructure from the ground up.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 7
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: For retail businesses, inventory is simultaneously the company's greatest asset and its largest risk. Competitor pricing, markdowns, and returns all threaten the margins that drive success, and in practice, inventory doesn't always move according to plan. To win in this highly competitive and rapidly evolving industry, it's essential to have a flexible toolkit that accurately produces forecasts and intelligently adapts to unplanned inventory dynamics. In this talk, I'll outline how Nordstrom applies data science and machine learning to build a wholistic view of inventory management from assortment, through stocking with intelligent size runs, and ending with a customer experience that gets the right product to the right customer at the right time.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 8
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: With the enrichment of video content on the Internet, the market of digital advertisement grows faster in recent years. However, due to the large scale and complexity of different platforms, more and more problems such as brand safety issues and insecure contents appear. Bruce is going to talk about how these problems attracts brands' attention and how Zefr built a machine learning product to address these issues.
    Anmerkung: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 9
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    ISBN: 9780136823483 , 0136823483
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 9 hr., 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Kurzfassung: 9 Hours of Video Instruction The Exam AZ-104 Microsoft Azure Administrator (Video) offers full coverage of the MS AZ-104 exam so you can learn everything you need to know to pass the exam. Coverage includes cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust, with the goal of passing the AZ-104 Exam. Description The Exam AZ-104 Microsoft Azure Administrator (Video) offers 9 full hours of video training on all core concepts in the AZ-104 exam so you can fully understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It will prepare Azure Administrators to implement, monitor, and maintain Microsoft Azure solutions, including major services related to compute, storage, network, and security. With 9 hours of hands-on demonstrations, it will provide the knowledge necessary to pass the exam and become Microsoft Certified: Microsoft Azure Administrator. With years of IT experience, numerous publications under his belt, and a wealth of expertise teaching in the field, Michael Shannon is uniquely qualified to prepare students for the Microsoft Azure Administrator AZ-104 exam. Topics include: Module 1: Manage Azure subscriptions and resources Module 2: Implement and manage storage Module 3: Deploy and manage virtual machines (VMs) Module 4: Configure and manage virtual networks Module 5: Manage identities About the Instructor Michael J. Shannon began his IT career when he transitioned from recording studio engineer to network technician for a major telecommunications company in the early 1990s. He soon began to focus on security and was one of the first 10 people to attain the HIPAA Certified Security Specialist. Throughout his 30 years in IT, he has worked as an employee, contractor, and consultant for several companies including Platinum Technologies, Fujitsu, IBM, State Farm, MindSharp, and Pearson, among others. Mr. Shannon has authored several books, training manuals, published articles, and CBT modules over the years as well. He is the senior technical instructor for Skillsoft Corporation, specializing in all things cloud and security. Skill Level Intermediate/Advanced Learn How To Manage Azure subscriptions and resources Implement and manage storage Deploy and manage virtual machines (VMs) Configure and manage virtual networks Manage identities Who Should Take...
    Anmerkung: Online resource; Title from title screen (viewed June 5, 2020) , Mode of access: World Wide Web.
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  • 10
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    ISBN: 9780136877202
    Sprache: Englisch
    Seiten: 1 online resource (304 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Windows Azure Study guides Examinations ; Cloud computing Study guides Examination ; Cloud computing Study guides Examinations ; Computing platforms ; Database management Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Electronic data processing personnel Certification ; Microsoft Azure (Computing platform) ; Electronic books ; local ; Windows Azure ; Infonuagique ; Examen ; Guides de l'étudiant ; Infonuagique ; Examens ; Guides de l'étudiant ; Plateformes (Informatique) ; Bases de données ; Gestion ; Examens ; Guides de l'étudiant ; Cloud computing ; Computing platforms ; Database management ; Examinations ; Electronic data processing personnel ; Certification ; Examinations ; Microsoft Azure (Computing platform) ; Study guides ; Electronic books
    Kurzfassung: Prepare for Microsoft Exam AZ-900demonstrate your real-world knowledge of cloud services and how they can be provided with Microsoft Azure, including high-level concepts applying throughout Azure, and key concepts specific to individual services. Designed for professionals in non-technical or technical roles, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Fundamentals level. Focus on the expertise measured by these objectives: Describe cloud concepts Describe core Azure services Describe security, privacy, compliance, and trust Describe Azure pricing, Service Level Agreements, and lifecycles This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you want to show foundational knowledge of cloud services and their delivery with Microsoft Azure; no technical background or IT experience is required About the Exam Exam AZ-900 focuses on knowledge needed to describe cloud service benefits and usage considerations; explain IaaS, PaaS, and SaaS; compare public, private, and hybrid cloud models; describe core Azure architectural components, products, solutions, and management tools; describe how network connectivity is secured in Azure; describe core identity services; describe Azure security tools, features, governance methodologies, and monitoring and reporting options; describe privacy, compliance and data protection standards; describe Azure subscriptions, cost planning, and cost management; and describe SLAs and the service lifecycle. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified Azure Fundamentals credential, demonstrating that you can describe cloud concepts and core Azure Services; the fundamentals of Azure security, privacy, compliance, and trust; and Azure pricing, SLAs, and service lifecycles. See full details at: www.microsoft.com/learn
    Anmerkung: Online resource; Title from title page (viewed August 5, 2020) , Mode of access: World Wide Web.
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  • 11
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 9 hr., 3 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 9 Hours of Video Instruction The Exam AZ-103 Microsoft Azure Administrator (Video) offers full coverage of the MS AZ-103 exam so you can learn everything you need to know to pass the exam. Coverage includes cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust, with the goal of passing the AZ-103 Exam. Description The Exam AZ-103 Microsoft Azure Administrator (Video) offers 9 full hours of video training on all core concepts in the AZ-103 exam so you can fully understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It will prepare Azure Administrators to implement, monitor, and maintain Microsoft Azure solutions, including major services related to compute, storage, network, and security. With 9 hours of hands-on demonstrations, it will provide the knowledge necessary to pass the exam and become Microsoft Certified: Microsoft Azure Administrator. With years of IT experience, numerous publications under his belt, and a wealth of expertise teaching in the field, Michael Shannon is uniquely qualified to prepare students for the Microsoft Azure Administrator AZ-103 exam. Topics include: Module 1: Manage Azure subscriptions and resources Module 2: Implement and manage storage Module 3: Deploy and manage virtual machines (VMs) Module 4: Configure and manage virtual networks Module 5: Manage identities About the Instructor Michael J. Shannon began his IT career when he transitioned from recording studio engineer to network technician for a major telecommunications company in the early 1990s. He soon began to focus on security and was one of the first 10 people to attain the HIPAA Certified Security Specialist. Throughout his 30 years in IT, he has worked as an employee, contractor, and consultant for several companies including Platinum Technologies, Fujitsu, IBM, State Farm, MindSharp, and Pearson, among others. Mr. Shannon has authored several books, training manuals, published articles, and CBT modules over the years as well. He is the senior technical instructor for Skillsoft Corporation, specializing in all things cloud and security. Skill Level Intermediate/Advanced Learn How To Manage Azure subscriptions and resources Implement and manage storage Deploy and manage virtual machines (VMs) Configure and manage virtual networks Manage identities Who Should T...
    Anmerkung: Online resource; Title from title screen (viewed November 26, 2019) , Mode of access: World Wide Web.
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  • 12
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Consumers today are less brand loyal and primarily driven by rewards, benefits and experiences. Constant changing customer preferences and card business economics point to a need for being hyper focused on customer engagement. In this presentation, Visa Consulting & Analytics showcases some of the approaches to increase customer engagement and improve retention using Machine Learning techniques on transactional data.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 13
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 17 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Far too often, product leaders and designers are not able to autonomously understand how to analyze their product's success. This talk focuses on how to think through how non-engineers experience data. I will cover intuitive event and property naming, documentation and practices that can empower everyone on your team to better understand data. If you care about making data more accessible, this talk is for you.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 14
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 29 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Everyday, Hulu ingests 100 terabytes of user level app interaction data. This session data is the closest touchpoint we have to subscribers' experience in our product short of joining them on their couch in their living rooms. Making meaning out of session data is a non-trivial effort across data instrumentation, engineering, analytics, and data science teams. In this talk, you will get an inside look at how we are tackling this monumental project at Hulu: from product design, to generating insights, to building predictive models - all to create the most personalized and engaging streaming experience for our subscribers.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 15
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Connie Yee - Data Scientist at Bloomberg As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data represented in the natural document format that is not machine-readable. Another requirement is validating and ensuring that the data is of high-quality since it is required for building models for predictions, classifications, and various analytics tasks. This talk will cover ways in which data science and machine learning can be used to address these two challenges: (1) ingesting your data by extracting what is contained in natural document format and (2) cleaning your ingested data.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 16
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Finding the right audience is the core marketing puzzle of all e-commerce businesses. While in the past this was mostly achieved using coarse segmentation and personas the broad availability of data makes nowadays possible to learn individual consumer preferences by training large scale machine learning models which can combine knowledge from thousands of dimensions and measurements. HelloFresh is the largest meal kit delivery service worldwide; in this talk, we will review how we use machine learning (gradient boosting machines) to acquire millions of customers every year and describe our large scale model training and scoring infrastructure.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 17
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: One of the challenges seemingly all data scientists face is finding a clean data set which contains the state of the player right before they take some event in the system. Typically we need to interact with event-driven systems and/or databases that only maintain the current snapshot of the player. In this talk we highlight some work we have done to recreate the up to date snapshot of the player captured before each event and demonstrate how we can leverage this dataset to improve personalization and model the players' likelihood to churn.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 18
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Shilpi Bhattacharyya, Data Scientist at IBM Who does not love the American television sitcom - Friends? And we definitely want to learn what makes this sitcom so popular. Can the most important aspects of some of the top shows of all the times be related? Is there something common which makes them a success? If not, can we find out and draw a correlation amongst them? In this talk, I would demonstrate the essential elements of few of these most successful sitcoms which have helped them connect with the audience at such a massive scale around the world. I would use data science and machine learning techniques as sentiment analysis, data visualization and correlation graphs on the transcripts available for these sitcoms to achieve the results. I would also focus briefly on the favorite characters. I believe this work would be able to bring out a concrete answer to the apparent question amongst the makers to understand the reasons which makes a hit show, with evidence backed up by data science.
    Anmerkung: Online resource; Title from title screen (viewed November 7, 2019) , Mode of access: World Wide Web.
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  • 19
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Bojan Babic - Sr. Software Engineer at Groupon Groupon is a dynamic Marketplace where we try to match millions of the deals organized in different verticals and taxonomies with the demand across 20 countries around the world. Modeling such complex relationships requires sophisticated machine learning models that utilize hundreds of user and deal features. Customers discover deals by directly entering the search query or browsing on the mobile or desktop devices. The purpose of this paper is to describe a series of techniques used to improve various parts of Search and Ranking algorithms by utilizing the embeddings representations of the user and deal features. The paper will describe improvements made in Query Understanding, Deal Classification, Similar Deals Recommendations and computation of an Image Propensity to Purchase that leverage respective embedding feature representations.
    Anmerkung: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
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  • 20
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Congratulations, you are the new leader of data science at a traditional company. Your customers are internal business units, and everyone is intrigued about the possibilities that data science can bring to the company. You are aware of multiple opportunities to apply a data driven approach and you are ready to jump in. But, wait! Before you start; here are 10 key questions that you may want to ask yourself before you embark on the first project. Knowing how to code or to model will only take you so far, as a leader you are going to have manage several other challenges. The earlier you can answer these questions the faster you will be able to run a successful program.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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  • 21
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Presented by Joshua Malina - Senior Machine Learning Engineer at AMEX Time series data is really fun to play with, but you have to know how to do it. In this talk, I dive into an open source data set to show you how Pandas makes time series data investigation more accessible. After this presentation, you will know about, time series decomposition, hypothesis testing and investigation, data quality issues related to time series, and resampling methods.
    Anmerkung: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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