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
 


C# Programming, 3rd Ed (In Easy Steps)

Author: Mike McGrath
Publisher: Easy Steps
Date: April 2022
Pages: 192
ISBN: 978-1840789737
Print: 1840789735
Kindle: B09WPBZZCV
Audience: C# developers
Rating: 5
Reviewer: Mike James
An easy guide to C# - what could be better.



Reliable Source: Lessons from a Life in Software Engineering

Author: James Bonang
Date: January 2022
Pages: 608
Kindle: B09QCBVJ9V
Audience: General interest
Rating: 5
Reviewer: Kay Ewbank

This book combines a fun read with interesting insights into how to write reliable programs.


More Reviews