Python 3 For Machine Learning (Mercury)
Wednesday, 06 May 2020

This book is aimed at developers with a basic knowledge of Python who want to use it for machine learning. Author Oswald Campesato starts with a fast-paced introduction to Python 3, NumPy, and Pandas before moving on to the fundamental concepts of machine learning. Next, the book covers 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.

Author: Oswald Campesato
Publisher: Mercury Learning & Information
Date: March 2020
Pages: 364
ISBN: 978-1683924951
Print: 1683924959
Kindle: B084P6L424
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial Intelligence and Python 

 

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