Python 3 for Machine Learning

by Oswald Campesato

This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2.

364 pages, Paperback

Published March 16, 2020

Reviews

[hoppsik · Rating 1 out of 5]

Simply terrible. No depth, no insight, no structure whatsoever. Looks like a summary from couple of top google results. First half of the book is just an introduction to python (I knew it before buying) and now I know it is a reliable way of checking whether book is worthless (not the first useless book I encountered that tries to make up lack of content with python tutorial).