blogs on machine learning

Fundamentals of Sensor Network Programming - (IEEE Press) (Hardcover)

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design - (Springer Theses) by Nina Andrejevic (Hardcover)

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)

Taming the Machine - by Nell Watson

Financial Signal Processing and Machine Learning - (IEEE Press) by Ali N Akansu & Sanjeev R Kulkarni & Dmitry M Malioutov (Hardcover)

Pedagogies of Machine Learning - by Regina Bittner & Katja Klaus & Philipp Sack (Paperback)

Machine Learning: Concepts, Tools and Techniques - by Ivy Wright (Hardcover)

Build a Text-To-Image Generator (from Scratch) - by Mark Liu (Paperback)

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

Machine Learning Methods - by Hang Li (Hardcover)

Practical Simulations for Machine Learning - by Paris Buttfield-Addison & Mars Buttfield-Addison & Tim Nugent & Jon Manning (Paperback)

Machine Learning at Scale with H2O - by Gregory Keys & David Whiting (Paperback)

Data Cleaning and Exploration with Machine Learning - by Michael Walker (Paperback)

Linear Algebra and Optimization for Machine Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Design for Entropy - by Luca M Possati (Paperback)

Fabulous Adventures in Data Structures and Algorithms - by Eric Lippert (Paperback)

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

The Art of Code - by Sandrine Banas (Paperback)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

A Beginner's Guide to Generative AI - (Synthesis Lectures on Computer Science) (Hardcover)