Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building ...

Three main themes are discussed in this book: concepts, working principles, and mechanics of deployable structures, both in engineering and biology; in addition: theory of foldable bar structures and application to deployable tensegrieties; ...

The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models.

The third edition of this definitive and popular book continues to pursue the question: what is the most efficient way to pack a large number of equal spheres in n-dimensional Euclidean space?

"Describes the quest to find the Master Algorithm, which will take machine learning to the next level, allowing computers to learn how to solve not just particular problems but any problem, "--Novelist.

"This book looks at solutions that provide the best fits of distance learning technologies for the teacher and learner presented by sharing teacher experiences in information technology education"--Provided by publisher.

The input descriptions will specify what the user wants dome rather than how to do it. This book discusses a central problem in the development of autonomous robots.