This book shows how to apply Machine Learning to projects using only standard Python code and high school-level math. Luis G. Serrano's hands-on exercises use Python and readily available ML tools, and no specialist knowledge is required to tackle them. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

<ASIN:1617295914>

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09L8NNBQ3
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial Intelligence

• Supervised algorithms for classifying and splitting data
• Methods for cleaning and simplifying data
• Machine learning packages and tools
• Neural networks and ensemble methods for complex datasets

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.