Steven Foote is a web developer at LinkedIn. A self-taught programmer who loves technology, especially the Web, he has a Bachelor’s degree and Master’s degree in Accountancy from Brigham Young University. While working on his Master’s degree, he built all aspects of two AJAX-y web applications, from visual design to server and database maintenance, and everything in between.

Steven Foote is a web developer at LinkedIn. A self-taught programmer who loves technology, especially the Web, he has a Bachelor’s degree and Master’s degree in Accountancy from Brigham Young University. While working on his Master’s degree, he built all aspects of two AJAX-y web applications, from visual design to server and database maintenance, and everything in between.

This book presents a broad, user-friendly introduction to the Langlands program, that is, the theory of automorphic forms and its connection with the theory of L-functions and other fields of mathematics. Each of the twelve chapters focuses on a particular topic devoted to special cases of the program. The book is suitable for graduate students and researchers.

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ex...(展开全部)

This book provides a comprehensive, up-to-date look at problem solving research and practice over the last 15 years.

The best of the groundbreaking website learningtoloveyoumore.com, which asks ordinary people to complete out-of-the-ordinary assignments--with extraordinary results.</p> In a world obsessed with "reality" programming, the collaborative public art project known as "Learning to Love You More" offers a refreshing take on how actual people think, act, and love. Created by ...(展开全部)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, a...(展开全部)