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Authoring Machine Learning Models from Scratch [Video]

By Mike West
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
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Download this book in EPUB and PDF formats
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What do you get with video?
Stream this video
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Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Access these resources with our interactive certification platform
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  1. Free Chapter
    Introduction
About this video
A complete guide to learning the details of machine learning algorithms by implementing them from scratch in Python. You will discover how to load data, evaluate models, and implement a suite of top machine learning algorithms using step-by-step tutorials. Machine learning algorithms do have a lot of math and theory under the covers, but you do not need to know why algorithms work to be able to implement them and apply them to achieve real and valuable results. In this course, you will learn how to load from CSV files and prepare data for modeling; how to select algorithm evaluation metrics and resampling techniques for a test harness; how to develop a baseline expectation of performance for a given problem; how to implement and apply a suite of linear machine learning algorithms; how to implement and apply a suite of advanced nonlinear machine learning algorithms; how to implement and apply ensemble machine learning algorithms to improve performance. This course will be an invaluable guide to understanding real-world machine learning models and help you understand the code behind math. By the end of this course, you will gain insight into real-world machine learning models and learn how to code the functions of the most used tools in machine learning. The complete code bundle for this course is available at https://github.com/PacktPublishing/Authoring-Machine-Learning-Models-from-Scratch
Publication date:
November 2021
Publisher
Packt
Duration
1 hours 31 minutes
ISBN
9781803238272

About the Author
  • Mike West

    Mike West is the founder of LogikBot. He has worked with databases for over two decades. He has worked for or consulted with over 50 different companies as a full-time employee or consultant. These were Fortune 500 as well as several small to mid-size companies. Some include Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light, and Northrup Grumman. Over the last five years, Mike has transitioned to the exciting world of applied machine learning. He is excited to show you what he has learned and help you move into one of the single-most important fields in this space.

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Authoring Machine Learning Models from Scratch [Video]
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