learning about computers for dummies

Machine Learning Infrastructure and Best Practices for Software Engineers - by Miroslaw Staron (Paperback)

Machine Learning Interviews - by Susan Shu Chang (Paperback)

MATLAB Machine Learning Recipes - 3rd Edition by Michael Paluszek & Stephanie Thomas (Paperback)

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

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

Learning SPARQL - 2nd Edition by Bob DuCharme (Paperback)

Computer Security and Encryption - by S R Chauhan & S Jangra (Paperback)

Learning with Kernels - (Adaptive Computation and Machine Learning) by Bernhard Scholkopf & Alexander J Smola (Paperback)

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

Learning Control - by Dan Zhang & Bin Wei (Paperback)

Advanced Machine Learning for Cyber-Attack Detection in Iot Networks - by Dinh Thai Hoang & Nguyen Quang Hieu & Diep N Nguyen & Ekram Hossain

Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data - by Chunhui Zhao & Wanke Yu (Paperback)

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

Learn Python Programming - Second Edition - 2nd Edition by Fabrizio Romano (Paperback)

Artificial Intelligence, Machine Learning, and Deep Learning - by Oswald Campesato (Paperback)

Reinforcement Learning, Second Edition - (Adaptive Computation and Machine Learning) 2nd Edition by Richard S Sutton & Andrew G Barto (Hardcover)

Scaling Graph Learning for the Enterprise - by Ahmed Menshawy & Sameh Mohamed & Maraim Rizk Masoud (Paperback)

Computer Graphics Programming in OpenGL with C++ - 2nd Edition by Scott Gordon & John L Clevenger (Hardcover)

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

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

Reinforcement Learning for Finance - by Yves Hilpisch (Paperback)

Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)

Learning Algorithms - by George Heineman (Paperback)

Machine Learning for Imbalanced Data - by Kumar Abhishek & Mounir Abdelaziz (Paperback)