good machine learning books

Emergence - by Bob Burgin (Hardcover)

Antennas - by Kumar Awasthi & Rashmi Agrawal & Himanshu Singh & Suresh Kumar (Hardcover)

The Essential Book of AI - (Sirius Concepts) by Anne Rooney (Hardcover)

Machine Learning Brick by Brick, Epoch 1 - by Dmitry Vostokov (Paperback)

Scikit-learn Cookbook - Third Edition - 3rd Edition by John Sukup (Paperback)

Machine Learning for Dummies - 3rd Edition by Luca Massaron (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Training Young Hearts Board Books Boxed Set - by Abbey Wedgeworth (Mixed Media Product)

Machine Learning and Artificial Intelligence - by Carl Dennis (Paperback)

Computer Vision Using Deep Learning - by Vaibhav Verdhan (Paperback)

Machine Learning for Experiment Design - by Jashan Jii (Paperback)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Machine Learning Applications - (De Gruyter Frontiers in Computational Intelligence) by Rik Das & Siddhartha Bhattacharyya & Sudarshan Nandy

Kubernetes Handbook - (Continuous Delivery) by Stephen Fleming (Paperback)

Machine Learning and Clustering for a Sustainable Future - (Studies in Computational Intelligence) (Hardcover)

Eeg Signal Processing and Machine Learning - 2nd Edition by Saeid Sanei & Jonathon A Chambers (Hardcover)

Machine Learning with SAS Viya - (Paperback)

Machine Learning Platform Engineering - (From Scratch) by Benjamin Tan Wei Hao & Shanoop Padmanabhan & Varun Mallya (Paperback)

Machine Learning for Hackers - by Drew Conway & John Myles White (Paperback)

Thinking Machines - by Shigeyuki Takano (Paperback)

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

Machine Learning on Geographical Data Using Python - by Joos Korstanje (Paperback)

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)