Wondrium University

An offshoot of artificial intelligence, machine learning takes programming a giant step beyond the traditional role of computers in routine data processing, such as scheduling, keeping accounts, and making calculations. Now computers are being programmed to figure out how to solve problems by themselves—problems that are so complex that humans often don’t know where to begin. Indeed, machine learning has become so advanced that, often, even the experts don’t know how a computer arrives at the solution it does.

Introduction to Machine Learning demystifies this revolutionary discipline in 25 try-it-yourself lessons taught by award-winning educator and researcher Michael L. Littman, the Royce Family Professor of Teaching Excellence in Computer Science at Brown University. Dr. Littman guides you through the history, concepts, and techniques of machine learning, using the popular computer language Python to give you hands-on experience with the most widely used programs and specialized libraries .

Learning a new language opens a wealth of opportunities. But there’s one language family that provides benefits like no other: the languages of computer programming. Programming is an eminently learnable skill that gives you unrivalled problem-solving power you can apply in all areas of life. Now, a pathbreaking guide to learning this important language is available with How to Program: Computer Science Concepts and Python Exercises. This accessible and easy to understand course will introduce you to the universe of programming using one of the world’s most accessible, popular, and powerful computer languages, Python 3, as a gateway  Taught by Professor John Keyser of the Department of Computer Science and Engineering at Texas A&M University, one of the top-ranked computer science programs in the country, this unique video course is the easiest and most rewarding way to learn Python and computer programming.