Addison-Wesley - Machine Learning With Python For Everyone [Rough Cuts] (2019 EN)

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    Author: Mark Fenner
    Full Title: Machine Learning With Python For Everyone [Rough Cuts]
    Publisher: Addison-Wesley Professional; 1 edition (July 30, 2019)
    Year: 2019
    ISBN-13: 9780134845661 (978-0-13-484566-1)
    ISBN-10: 0134845668
    Pages: 592
    Language: English
    Genre: Educational: Machine Learning
    File type: EPUB (True)
    Quality: 10/10
    Price: $49.99


    The Complete Beginner’s Guide to Building Machine Learning Systems with Python.

    Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Leading instructor and researcher Mark Fenner relies on stories, pictures, and Python examples wherever possible, and offers plain-English content in place of an equation whenever possible.

    Fenner begins by explaining what machine learning is and what it can do, introducing key mathematical and computational topics at a high level, and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use.


    Inside You'll see:
    ✓ Understand algorithms, models, and other core machine learning concepts
    ✓ Classify examples with classifiers, and quantify examples with regressors
    ✓ Realistically assess the performance of a machine learning system and its components
    ✓ Use feature engineering to smooth rough data into useful form
    ✓ Chain multiple steps into one “learner,” and tune it for better performance
    ✓ Apply machine learning techniques to images and text
    ✓ Get started with advanced neural networks and graphical models
    ✓ Leverage the Python scikit-learn library and other powerful tools

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    Last edited by a moderator: Jul 20, 2020

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