Discover a World of Private Torrents – Quality Guaranteed!
https://www.Torrenting.com

Harrison J. Machine Learning With Python Programming 2023. A Beginners Guide

Download!Download this torrent!

Harrison J. Machine Learning With Python Programming 2023. A Beginners Guide

To start this P2P download, you have to install a BitTorrent client like qBittorrent

Category: Other
Total size: 5.92 MB
Added: 2025-03-10 23:38:49

Share ratio: 5 seeders, 4 leechers
Info Hash: 6505D6BB5FCEE16A0EF1A8F7D4DBB1C20FBFBC70
Last updated: 11.3 hours ago

Description:

Textbook in PDF format Are you ready to dive into the fascinating world of Machine Learning and Artificial Intelligence? Do you want to understand the technology that powers everything from personalized recommendations to self-driving cars? If so, "Machine Learning With Python Programming : 2023 A Beginners Guide" is the book you've been waiting for. This comprehensive guide takes you on an exciting journey from the basics of Python programming to the depths of neural networks and Deep Learning. It demystifies the complex world of Machine Learning, making it accessible and understandable, regardless of your background. James begins by discussing Machine Learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand Machine Learning algorithms, models, and core Machine Learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of Machine Learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply Machine Learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python Scikit-learn library and other powerful tools And much more!