blogs on machine learning

Principles and Theory for Data Mining and Machine Learning - (Springer Statistics) by Bertrand Clarke & Ernest Fokoue & Hao Helen Zhang

Machine Learning for Algorithmic Trading - 2nd Edition by Stefan Jansen (Paperback)

Classical Machine Learning - by Sanad Aburass & Ibrahim Aljarah (Hardcover)

Machine Learning Theory and Applications - by Xavier Vasques (Hardcover)

Making ChatGPT Work for You - by Lydia Evelyn (Paperback)

Deep Learning - (Adaptive Computation and Machine Learning) by Ian Goodfellow & Yoshua Bengio & Aaron Courville (Hardcover)

Python Machine Learning - Second Edition - 2nd Edition by Sebastian Raschka & Vahid Mirjalili (Paperback)

Quantum Machine Learning - by Peter Wittek (Paperback)

Quantum Machine Learning with Python - by Santanu Pattanayak (Paperback)

Empower Your Nonprofit - by Amy Neumann (Hardcover)

Exploring the Power of ChatGPT - by Eric Sarrion (Paperback)

Machine Learning - by Zhi-Hua Zhou (Paperback)

MATLAB for Machine Learning - Second Edition - 2nd Edition by Giuseppe Ciaburro (Paperback)

Machine Learning for Decision Makers - 2nd Edition by Patanjali Kashyap (Paperback)

Deep Learning with R - by Francois Chollet (Paperback)

How Algorithms Create and Prevent Fake News - by Noah Giansiracusa (Paperback)

Machine Learning for Tabular Data - by Mark Ryan & Luca Massaron (Paperback)

The Transformative Magic of M Code in Power Query Excel & Power Bi - by Mike Excelisfun Girvin (Paperback)

ChatGPT for Conversational AI and Chatbots - by Adrian Thompson (Paperback)

Pytorch Pocket Reference - by Joe Papa (Paperback)

Machine Learning: Theory and Applications - (Handbook of Statistics) (Hardcover)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Quantum Machine Learning: An Applied Approach - by Santanu Ganguly (Paperback)

ChatGPT for Beginners - by Eric Sarrion (Paperback)