PLU | Understanding Machine Learning (2016 EN)

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    Company: Pluralsight
    Author: David Chappell
    Full Title: Understanding Machine Learning
    Year: 2016
    Language: English
    Genre: Educational: Machine Learning
    Skill Level: Beginner
    Price: -
    Files: MP4 (+ Subtitles .SRT, Slides .PDF)
    Time: 00:43:08
    Video: AVC, 1280 x 720 (1.778) at 15.000 fps, 240 kbps
    Audio: AAC at 78 Kbps, 2 channels, 44.1 KHz

    Need a short, clear introduction to machine learning? Watch this.

    Hello! My name is David Chappell, and I’m the author of Understanding Machine Learning here at Pluralsight. Have you ever wondered what machine learning is? That’s what this course is designed to teach you. You’ll explore the open source programming language R, learn about training and testing a model as well as using a model. By the time you’re done, you’ll have a clear understanding of exactly what machine learning is all about. It’s all ready and waiting for you – jump in whenever you’re ready, and thanks for visiting me here at Pluralsight.

    1. Course Overview
    01. Course Overview
    2. Introduction
    02. Introduction
    3. What Is Machine Learning?
    03. Getting Started
    04. Finding Patterns
    05. Machine Learning in a Nutshell
    06. Why Is Machine Learning So Hot Right Now?
    07. The Ethics of Machine Learning
    08. The Main Points
    4. The Machine Learning Process
    09. Getting Started
    10. Asking the Right Question
    11. Illustrating the Machine Learning Process
    12. Example Machine Learning Scenarios
    13. The Main Points
    5. A Closer Look at the Machine Learning Process
    14. Getting Started
    15. Some Terminology
    16. Data Pre-processing
    17. Categorizing Machine Learning Problems
    18. Styles of Machine Learning Algorithms
    19. Training and Testing a Model
    20. Implementing Machine Learning
    21. Summary