Whether you’re just starting out in AI or an experienced developer, eBooks can help you stay up to date on the latest developments in this rapidly evolving field. But with so many options to choose from, finding the right ones can be tricky. To help, we’ve compiled a list of free books that cover a wide range of topics related to artificial intelligence.
A must-read for anyone interested in the future of AI. This book traces the evolution of AI, from the early dreams of eighteenth-century pioneers to the work of today’s AI engineers. It also provides an introduction to the key technologies that have driven this development, including genetic algorithms, neural networks, expert systems, and machine learning. The book’s extensive diagrams and easy-to-understand descriptions will make it a valuable resource for any AI enthusiast or scholar.
This book is a must-read for anyone interested in learning how to implement AI in their own projects. Written for the beginner, it takes a hands-on approach that will allow you to build your own models using SKLearn, NumPy/MXNet, PyTorch, and TensorFlow. The author walks you through the entire process of creating a real-world application from beginning to end with plenty of code snippets and visualizations along the way.
Unlike most introductory books on Machine Learning, this one goes beyond explaining the theory and covers practical applications. It teaches you how to perform data preparation, create and train a model for classification and regression tasks, then deploy it in a production system. It also discusses advanced concepts for the real world like hyperparameter tuning, model ensembles, and mixed-precision training on multi-GPU or multi-TPU.
Machine learning is all about patterns, and this eBook helps you get started with understanding and creating them. The authors walk you through the basics of pattern recognition, and then introduce more complex topics like neural network architectures and generative models. They also cover important topics such as model evaluation and deployment strategies.
The book covers all the major topics of Machine Learning with plenty of examples and exercises, making it an excellent reference for both beginners and experts. The only downside is that it can be a little on the dry side at times.
This eBook is an invaluable resource for anyone interested in developing and deploying intelligent agent technologies. It explains how to implement agent-based modeling, planning algorithms, and the core techniques of intelligent search. It also explores some more advanced topics such as statistical Natural Language Processing and local search planning methods.
The first of its kind, this book uses AI to write and illustrate a children’s story about a squirrel named Sammy and his attempts to save money and invest in his forest. Using ChatGPT, an open-source AI writing tool, the author claims it took him only about four hours to produce the 27-page book. The story has drawn criticism from some who see it as exploitative, but others have applauded the innovative use of AI. Free AI books