Scala 3 is concise, consistent, flexible, robust, and efficient, but there's a lot to learn and navigating features and improvements can be challenging. Scala for the Impatient, Third Edition, is a complete yet concise guide that reflects the major enhancements of Scala 3, from improved syntax and revamped type system to powerful contextual abstractions. This indispensable tutorial offers a faster, easier pathway for learning today's Scala. Horstmann--author of the programming classic, Core Java--covers everything working developers need to know, focusing on hands-on solutions, not academic theory. Given the size and scope of Scala 3, there's plenty to cover but it's presented in small chunks organized for quick access and easy understanding, with plenty of practical insights and focused sample code.

This anthology of original historical essays examines how social relations are enacted in and through computing using the twin frameworks of abstraction and embodiment. The book highlights a wide range of understudied contexts and experiences, such as computing and disability, working mothers as technical innovators, race and community formation, and gaming behind the Iron Curtain.

Many textbooks on regression focus on theory and the simplest examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is a book about how to use regression to solve real problems of comparison, estimation, prediction, and causal inference.

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades.

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years.

This book is for the growing community of scientists and even engineers who use computing, and seek a scientific understanding of computer architecture. Those who view computation as an intellectual multiplier, and consequently are interested in capabilities, scaling, and limits, not mechanisms.