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Introduction to machine learning with Python a guide for data scientists

✍ Scribed by Guido, Sarah;Müller, Andreas Christian

Publisher
O'Reilly Media
Year
2018;2016
Tongue
English
Edition
First edition, fourth release
Category
Library
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✦ Synopsis

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

With this book, you'll learn:

  • Fundamental concepts and applications of machine learning
  • Advantages and shortcomings of widely used machine learning algorithms
  • How to represent...

    • ✦ Subjects

    Maschinelles Lernen;Python

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