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This eBook includes the following formats, accessible from your Account page after purchase:
EPUB
The open industry format known for its reflowable content and usability on supported mobile devices.
PDF
The popular standard, used most often with the free Adobe® Reader® software.
This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.
The Complete Beginners Guide to Understanding and 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 youre an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.
Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, youll fill out the components of a practical learning system, broaden your toolbox, and explore some of the fields most sophisticated and exciting techniques. Whether youre a student, analyst, scientist, or hobbyist, this guides insights will be applicable to every learning system you ever build or use.
Machine Learning Classification
Download the sample pages (includes Chapter 3).