Books like Why Machines Learn by Anil Ananthaswamy

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow teaches practitioners to build intelligent systems with Python, covering core machine learning, deep learning, and TensorFlow 2 tools.

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

Luke Dormehl guides readers through AI’s evolution from Cold War roots to the everyday smart devices that already shape our lives, and peers ahead to possible future impacts of intelligent machines.

"The Secret of Machine Learning" is your comprehensive guide to understanding and applying machine learning concepts. Written by Mhd Arjunanta, this Ebook explores the fundamentals, popular algorithms, practical tools, and ethical considerations of machine learning. Whether you're a beginner or an experienced practitioner, this book is designed to demystify the complexities of machine learning and help you unlock its potential.

Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think , AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat.