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  • Online Resource  (21)
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  • [Erscheinungsort nicht ermittelbar] : Skylines Academy, LLC  (4)
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Skylines Academy, LLC | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Not sure where to start with Microsoft 365 (M365)? Whether you are new to Office 365, Windows, and/or Enterprise Mobility and Security (EMS), or simply need a refresher, this is exam is exactly what you need to form a solid foundation which will propel you on your Microsoft 365 adventure. The M365 Fundamentals course will provide you with all of the foundational information you need to jump-start your knowledge of M365. During your journey, Skylines Academy will lead you through a series of sections, modules, and demos to prepare you for taking, and ultimately passing, the Microsoft 365 MS -900 exam. The curriculum for this course includes: - Introduction - Cloud and M365 Concepts - M365 Core Services and Features - M365 Security & Compliance - M365 Pricing & Support Lectures will educate you on the fundamental terms and principles of the M365 platform and demos will enable you with a hands-on experience using scenarios to empower you in the real world. Once you've passed the MS-900 exam, check out our MS-100 Course: M365 Identity and Services to continue your learning. Welcome to Skylines Academy and the MS-900 course. Thank you for joining us!
    Note: Online resource; Title from title screen (viewed April 9, 2020) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Skylines Academy, LLC | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Welcome to Skylines Academy - home of the NEW AZ-303 Course! Since Microsoft announced the new AZ-303 Azure Architect Technologies exam, the Skylines Academy team has been hard at work to provide you with brand new and relevant content to help you pass the AZ-303 exam. The AZ-303 exam is the updated version of the AZ-300 exam and includes a lot of new material. The exam will be available starting June 29, 2020 so you could be one of the first to get certified! After taking the AZ-303 exam, we recommend you take the AZ-304 course from Skylines Academy (coming soon!) and exam. Once you pass both exams, you will be and EXPERT and obtain the Microsoft Certified: Azure Solutions Architect Expert badge. This course follows the Microsoft Skills Measured curriculum for the AZ-303. Nick Colyer, Master Instructor and Co-Founder of Skylines Academy will lead you through this brand-new course, filled with in-depth content around AZ-303 Azure services. Nick's previous version of this course, AZ-300, has received an average of 4.72 starts from thousands of students from every corner of the globe Student Reviews for the Azure Architect Technologies Course by Nick Colyer: "This is a great site to learn and Nick is awesome instructor. Since I have started my Journey with Skylines with AZ-900 this is the Third course I have completed so far. I am now preparing my AZ-300 Exam and after that 301." "Two Words...Just Awesome!!!" "All the information was concise and engaging. I like how there is a lecture followed by a demo right after. It really helps to reinforce the topic while it is fresh in the mind. Overall, my second course with Nick, and I am enjoying them. I passed the AZ-103 exam using Nick's course on here, and moving on to 300 and 301. Thanks a bunch!" Course Description: The AZ-303 course is intended for IT engineers and architects who have previous experience of Microsoft Azure. Since Azure services were released, there have been several additions and updates to the platform that will be explored in this course. In order for you to achieve success and pass the AZ-303 exam, this Skylines Academy course will guide you through a series of sections, lectures, demonstrations, and hands-on labs, alongside other helpful study material. We have got you covered! During this course, you will gain knowledge and hands-on experience of: Understand Azure Active Directory (AD) and Subscriptions Implement Virtual Networking Implement Virtual Machines for Windows and L...
    Note: Online resource; Title from title screen (viewed July 13, 2020) , Mode of access: World Wide Web.
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  • 3
    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 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    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: 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    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: 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 6
    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: 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 8
    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 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Skylines Academy, LLC | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Welcome to this Skylines Academy MS-700 Certification Course! This course will help you study for and pass the MS-700 exam by Microsoft, which will earn you the coveted Microsoft 365 Certified: Teams Administrator Associate badge. This course has over 4.5 hours of on-demand content and 52 practice questions to test your knowledge; It follows the Microsoft Skills Measured curriculum. David Hood, Instructor at Skylines Academy and Senior Technical Account Manager at Microsoft will lead you through this course. David is also the author and instructor of the MS-100 and MS-101 courses for Skylines Academy and has received an impressive average rating of 4.7 stars from thousands of students! Student Reviews for the Instructor David Hood: "Very, very good instructor. I am a non-native English speaker but I could clearly understand David and the course concepts. Many thanks and I will of course recommend SKYLINES ACADEMY to friends and colleagues." "This course is extremely awesome, for both ideas and practical demonstrations. I really love the contents and the instructor." "David Hood is another great instructor from the Skylines Academy team - great content and I passed the MS-100 exam. Now on to the MS-101 course by David Hood!" Course Description: With more and more professionals working from home, it has become imperative that organizations learn how to properly administer Microsoft Teams to remote workers. This course is the perfect place to learn all about Microsoft Teams so you can run your Teams environment like a pro while making sure all security measures are in place. During your journey, Skylines Academy will lead you through a series of sections, modules, and demos to prepare you for taking, and ultimately passing, the MS-700 exam. During this course, you will learn how to: Plan and Configure a Microsoft Teams Environment: Upgrade from Skype for Business to Microsoft Teams Plan and Configure Network Settings for Microsoft Teams Implement Governance and Lifecycle Management for Microsoft Teams Configure and Manage Guest Access Manage Security and Compliance Deploy and Manage Microsoft Teams Endpoints Monitor and Analyze Service Usage Manage Chat, Calling, and Meetings Manage Chat and Collaboration Experiences Manage Meeting Experiences Manage Phone Numbers Manage Phone Systems Manage Teams and App Policies Manage a Team Manage Members in a Team Implement Policies for Microsoft Teams Apps Lectures will educate you on the fundamental terms ...
    Note: Online resource; Title from title screen (viewed July 9, 2020) , 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 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Skylines Academy, LLC | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Welcome to Skylines Academy, where you will get a detailed introduction into Azure DevOps! This course is for you in you want to: • Get the best overview of Azure DevOps from one of the IT industry's leading technologists • Develop a skillset in Azure DevOps, which is becoming more and more sought after as organizations continue to automate processes for faster results • Take the AZ-400 certification and are looking for a place to start Course Description: This course is based on a major section of the AZ-400 Certification from Microsoft: Designing and Implementing Microsoft DevOps Solutions, and includes important fundamental and in-depth lectures and demonstrations on how to start with Azure DevOps. As a foundation to learning all-things Azure DevOps, Author and Instructor Shannon Kuehn will lead you through this course and teach you the following: 1. The importance of source control and how to effectively manage and implement it: o Source Control 101 o Git o Source Control Systems o Authentication to Git Repos o Git Repo Organization 2. An overview of Azure DevOps to get you up-to-speed with the service: o Setting up Azure DevOps with Demo Generator o Azure Repos o In-depth demos on Git Credential Manager, Version Control with Azure Repos, Importing/Cloning/Forking/Branching, and Pull Requests o Azure Pipelines o Jenkins and Azure Pipelines Integration 3. Analyze and Integrate Multi-Stage Files, including: o Deploying Multi-Container Application to Azure Kubernetes Service (AKS) 4. Understanding Parallel Jobs, Build Agents, and Private Agents 5. Implementing Security for Software Configuration: o Secrets and Certificates o Demonstration on Azure Key Vault and Azure Pipelines 6. Mobile DevOps & Visual Studio App Center o Mobile Target Devices and Distribution Groups o Public/Private Distribution Groups o Target UI Test Device Sets o Tester Devices for Deployment Using the Skylines Academy approach, lectures will educate you on the fundamental terms and principles of Azure DevOps, and demos will enable you with a hands-on experience using scenarios to empower you in the real world. The Skylines Academy AZ-400 Course Series This AZ-400 Azure DevOps Development Processes & Source Control is part of a series of courses which will cover the entirety of the AZ-400 Skills Measured document by Microsoft. This course is also an excellent stand-alone knowledge option for those looking to amplify their skills in Source Control without studying for the...
    Note: Online resource; Title from title screen (viewed July 24, 2020) , 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 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 10, 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 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed February 21, 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 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    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 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed November 7, 2019) , Mode of access: World Wide Web.
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  • 21
    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: 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.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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