Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow

by Samuel Burns

You are interested in becoming a machine learning expert but don't know where to start from? Don't worry you don't need a big boring and expensive Textbook. This book is the best guide for you.
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Here are the
The author has explored everything about machine learning and deep learning right from the basics.

The book is written chronologically, in a step-by-step manner.



The Aims and Objectives of the





Here are the target readers for this





You are required to have installed the following on your

The Author guides you on how to install the rest of the Python libraries that are required for machine learning and deep learning.





This book will teach you machine learning classifiers using scikit-learn and tenserflow . The book provides a great overview of functions you can use to build a support vector machine, decision tree, perceptron, and k-nearest neighbors. Thanks of this book you will be able to set up a learning pipeline that handles input and output data, pre-processes it, selects meaningful features, and applies a classifier on it. This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques. Concepts and the background of these concepts are explained clearly in this tutorial.

148 pages, Kindle Edition

Published November 8, 2018

Reviews

[Richard Johnson · Rating 2 out of 5]

This needs proof reading before going to print, the spelling and grammar mistakes are distracting. I also found the book tells me what code snippets are doing rather than why you want to do it and the code itself tells me that much. I think the examples were nice but the instructional content could've been far better, it read a bit like the instructions for Ikea furniture, it tells you to put a in b before c but not why you want to or why the order matters.