Books like The Master Algorithm by Pedro Domingos

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.

Nine algorithms that changed the future explores how nine key computer algorithms have shaped society, artificial intelligence, and computer science across the globe.

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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.

A concise textbook that blends the fundamentals of Shannon‐based information theory with practical applications in data compression, error‑correction, and machine learning, featuring tools such as message‑passing, Monte Carlo, and variational methods.

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

Algorithm Design introduces classic and modern algorithmic techniques through real‑world problems, guiding students to formulate, analyze, and solve problems by applying appropriate design principles in a clear, direct style.

From Robocop to the Terminator to Eve 8, no image better captures our deepest fears about technology than the cyborg, the person who is both flesh and metal, brain and electronics. But philosopher and cognitive scientist Andy Clark sees it differently. Cyborgs, he writes, are not something tobe feared--we already are cyborgs. In Natural-Born Cyborgs, Clark argues that what makes humans so different from other species is our capacity to fully incorporate tools and supporting cultural practices into our existence. Technology as simple as writing on a sketchpad, as familiar as Google or a cellular phone, and aspotentially revolutionary as mind-extending neural implants--all exploit our brains' astonishingly plastic nature. Our minds are primed to seek out and incorporate non-biological resources, so that we actually think and feel through our best technologies...

A practical guide to Bayesian methods in machine learning, tailored for undergraduates and graduate students with modest math backgrounds.