Subtited "The Matter of Data in a Self-Inscribing World", in this book Dietmar Offenhuber argues that citizen scientists, environmental activists, and forensic amateurs are using analog methods to present evidence of pollution, climate change, and the spread of disinformation. Offenhuber presents a model for these practices, a model to make data generation accountable: autographic design.

<ASIN:0262547023>

Subtitled "What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence", this book provides a framework for thinking about foundational philosophical questions surrounding the use of deep artificial neural networks ("deep learning") to achieve artificial intelligence. Specifically, Cameron J. Buckner  links recent breakthroughs to classic works in empiricist philosophy of mind 

<ASIN:0197653308 >

In this book, subtitled "A testing guide for the 2020s", Matthew Heusser and Michael Larsen cover a wide range of topics in the field of software testing, providing practical insights and strategies for professionals at every level. With equal emphasis on theoretical knowledge and practical application, this book is a valuable resource for programmers, testers, and anyone involved in software development.

<ASIN:1837638020>

The book is a graphic novella written by two self-realized nobots who aim to help nearly seven billion fellow biological nobots (also known as humans) realize their true nature. The nobots argue that this is the first time two self-realized nobots have written a book together, and that their perspective can help bridge the gap between nobots and humans.

<ASIN: 1951541634>

This book provides comprehensive detail about modern C programming, including the standards C99, C11, C17, C23, reflecting recent updates. The book features a number of targeted examples, atomic data types, and threads. After covering the standards of C, Orhan Gazi explains data types, operators, loops, conditional statements, functions, pointers, and more. The book is intended primarily for electrical and hardware engineers looking to use or update their knowledge of modern C programming.

<ASIN: 3031453603>

This book provides an accessible treatment of deep learning. Simon Prince curates only the ideas he considers most important with the aim of providing a high density of critical information. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. Suitable for anyone with a basic background in applied mathematics.

<ASIN: 0262048647>

In this book subtitled "From Sorcery to Science", Ronald T. Kneusel explores the explosion of artificial intelligence by explaining — without a single mathematical equation — what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood and  sets out to unravel the mysteries of artificial intelligence, without the complex math and unnecessary jargon.

<ASIN: 1718503725>

This book is a guide to "Pythonic" programming, a collection of best practices, ways of working, and nuances that are easy to miss, especially when ingrained habits are borrowed from other programming languages. Author David Mertz presents concrete and concise examples of various misunderstandings, pitfalls, and bad habits in action.

<ASIN:0138320942>

Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. In this hands-on guide, Quan Nguyen shows how to put its advanced techniques into practice. The book shows how to optimize hyperparameter tuning, A/B testing, and other aspects of the machine learning process by applying cutting-edge Bayesian techniques.

<ASIN:1633439070>

Subtitled "Inside Facebook and the Fight to Expose Its Harmful Secrets", this book takes a behind-the-scenes look at the tactics Facebook used to grow its business, and how it altered the way we connect online. Expanding on “The Facebook Files,” his award-winning series for The Wall Street Journal, reporter Jeff Horwitz lays out the architecture of Facebook’s failures, and what the company knew (and often disregarded) about its societal impact.

<ASIN:‎ 0385549180 >

This book describes a set of patterns that have been observed in mainstream open-source distributed systems. Unmesh Joshi looks at how distributed systems are inherently stateful systems, and what can and will go wrong when data is stored on multiple servers--from process crashes to network delays and unsynchronized clocks.

<ASIN: 0138221987>

This book shows how to turn code into tangible creations with Python Playground, a collection of 15 inventive projects that will expand your programming horizons, spark your curiosity, and elevate your coding skills. Mahesh Venkitachalam shows how to generate art and music, simulate real-world phenomena, and interact with hardware, all through the use of Python and common libraries such as numpy, matplotlib, and Pillow.

<ASIN:1718503040 >