blogs on machine learning

Grokking AI Algorithms, Second Edition - by Rishal Hurbans (Paperback)

The Early-Career Professional's Guide to Generative AI - by Jonas Bjerg (Paperback)

The Feel of Algorithms - by Minna Ruckenstein (Paperback)

Systems Programming with Zig - by Garrison Hinson-Hasty (Paperback)

AI Innovators - (The Science of AI) by John Allen (Hardcover)

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (Paperback)

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

AI Design - by Antonio Gulli (Paperback)

Predictive Analytics for Dummies - (For Dummies) 2nd Edition by Anasse Bari & Mohamed Chaouchi & Tommy Jung (Paperback)

The Essential Book of Useless Information - by Don Voorhees (Paperback)

The Process of Generative AI Writing - by Nathan Jung (Hardcover)

A Citizen's Guide to Artificial Intelligence - by John Zerilli (Paperback)

Reader Bot - by Naomi S Baron (Hardcover)

Gamechanger AI - by Klaus Henning (Paperback)

Generative Engine Optimization - by Ross Hudgens (Hardcover)

KI ist Chefsache! - by Oliver Schwartz (Hardcover)

Exploring AI Engineering Careers - (Exploring Engineering Careers) by Leanne Currie-McGhee (Hardcover)

SAP Analytics Cloud für Dummies - by Klaus Freyburger (Paperback)

Applied Recommender Systems with Python - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni & V Adithya Krishnan (Paperback)

Crack Any Codebase with AI - by Zachary Huang (Paperback)

Gpu Programming with Triton - by Harshwardhan Fartale (Paperback)

Cuda for Deep Learning - by Elliot Arledge (Paperback)

LLM Customization and Fine-Tuning - by Amit Bahree & Weehyong Tok (Paperback)