blogs on machine learning

Machine Learning For Beginners - by Jonathan S Walker (Paperback)

Fundamentals of Machine Learning - by Percy Vaughn (Hardcover)

Source Separation and Machine Learning - by Jen-Tzung Chien (Paperback)

Machine Learning, Revised and Updated Edition - (MIT Press Essential Knowledge) by Ethem Alpaydin (Paperback)

Adversarial Robustness for Machine Learning - by Pin-Yu Chen & Cho-Jui Hsieh (Paperback)

Carson Dellosa Education Mini Maker Kit: Food Science

The Hundred-Page Machine Learning Book - by Andriy Burkov (Paperback)

Building Neural Networks from Scratch with Python - by L D Knowings (Paperback)

Raising AI - by De Kai

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Hands-On Machine Learning with C++ - Second Edition - 2nd Edition by Kirill Kolodiazhnyi (Paperback)

Tinyml - by Pete Warden & Daniel Situnayake (Paperback)

Reram-Based Machine Learning - (Computing and Networks) by Hao Yu & Leibin Ni & Sai Manoj Pudukotai Dinakarrao (Hardcover)

Fundamentals of Machine Learning - by Mia Williams (Hardcover)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Machine Learning with Quantum Computers - (Quantum Science and Technology) 2nd Edition by Maria Schuld & Francesco Petruccione (Hardcover)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

Dataset Shift in Machine Learning - (Neural Information Processing) (Paperback)

Google Machine Learning and Generative AI for Solutions Architects - by Kieran Kavanagh (Paperback)

Coders - by Clive Thompson (Paperback)

Data Engineering for Machine Learning Pipelines - by Pavan Kumar Narayanan (Paperback)

Active Machine Learning with Python - by Margaux Masson-Forsythe (Paperback)

Machine Learning with the Raspberry Pi - by Donald J Norris (Paperback)

Practical Machine Learning for Data Analysis Using Python - by Abdulhamit Subasi (Paperback)