learning about computers for dummies

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Practical Machine Learning and Image Processing - by Himanshu Singh (Paperback)

Artificial Intelligence and Machine Learning for Safety-Critical Systems - by Rajiv Pandey & Kanishka Tyagi & Neeraj Kumar Singh & Nidhi Srivastava

Mathematical Foundations of Reinforcement Learning - by Shiyu Zhao (Hardcover)

Machine Learning with R - Third Edition - 3rd Edition by Brett Lantz (Paperback)

Machine Learning Production Systems - by Robert Crowe & Hannes Hapke & Emily Caveness & Di Zhu (Paperback)

MATLAB Deep Learning - by Phil Kim (Paperback)

Learning GNU Emacs - 3rd Edition by Debra Cameron & James Elliott & Marc Loy & Eric S Raymond & Bill Rosenblatt (Paperback)

Machine Learning and Deep Learning With Python - by James Chen (Paperback)

Learning MySQL - 2nd Edition by Vinicius M Grippa & Sergey Kuzmichev (Paperback)

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Applied Machine Learning Explainability Techniques - by Aditya Bhattacharya (Paperback)

Learning API Styles - by Lukasz Dynowski & Marcin Dulak (Paperback)

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)

Learn Salesforce Lightning - by Felicia Duarte & Rachelle Hoffman (Paperback)

Learning AI Tools in Tableau - by Ann Jackson (Paperback)

Deep Learning for Chest Radiographs - (Primers in Biomedical Imaging Devices and Systems) (Paperback)

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

Learning Digital Identity - by Phillip J Windley (Paperback)

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Basic Training For Dummies - by Rod Powers (Paperback)

Beginning Anomaly Detection Using Python-Based Deep Learning - 2nd Edition by Suman Kalyan Adari & Sridhar Alla (Paperback)

Practical Machine Learning with Rust - by Joydeep Bhattacharjee (Paperback)

Learning Github Actions - by Brent Laster (Paperback)