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.

<ASIN:1683924959>

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 

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


The Async-First Playbook

Author: Sumeet Gayathri Moghe
Publisher: Addison-Wesley
Pages: 368
ISBN: 978-0138187538
Print: 0138187533
Kindle: B0CCTZHB9N
Audience: Agile developers
Rating: 4
Reviewer: Kay Ewbank

The driver behind this book was the pandemic and the need to find ways to make remote working effective for teams. So do [ ... ]



PostgresSQL 14 Administration Cookbook

Author: Simon Riggs and Gianno Ciolli
Publisher: Packt Publishing
Pages: 608
ISBN: 978-1803248974
Print:1803248971
Kindle: B09R4VBHX3
Audience: PostgresSQL developers and administrators
Rating: 4.5
Reviewer: Kay Ewbank

While this book describes itself as a cookbook, the recipes in it work through the nec [ ... ]


More Reviews