Machine Learning: Study Deep Learning Through Data Science (Step by Step Guide to Machine Learning Techniques...

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Michael Krauss

Machine Learning

Study Deep Learning Through Data Science (Step by Step Guide to Machine Learning Techniques...

Michael Krauss

$22.95 $20.74

Paperback

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English

Michael Krauss
15 July 2023

Mathematical theory of computation; Machine learning; Pattern recognition; Computer vision; Self-help & personal development

Summary
Details

This book is for anyone who would like to learn how to develop machine-learning systems. We will cover the most important concepts about machine learning algorithms, in both a theoretical and a practical way, and we'll implement many machine-learning algorithms using the scikit-learn library in the python programming language. In the first chapter, you'll learn the most important concepts of machine learning, and, in the next chapter, you'll work mainly with the classification. In the last chapter you'll learn how to train your model. I assume that you've knowledge of the basics of programming.

What you'll learn:

What is machine learning What is supervised, unsupervised, and reinforcement learning How to use the numpy and pandas library How to use matplotlib to plot charts What is the scikit-learn library? What do the fit() and transform() methods do How to pre-process our data How to use pipelines and column transformers to streamline our code How to evaluate our models

Machine learning is the way of the future - and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you'll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them.

By: Michael Krauss
Imprint: Michael Krauss
Dimensions: Height: 203mm, Width: 127mm, Spine: 10mm
Weight: 195g
ISBN: 9781777361167
ISBN 10: 1777361168
Pages: 192
Publication Date: 15 July 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active