Topic: Education

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the...

A creative and comprehensive exploration of the institutional forces undermining the management of environments critical to public health. For almost two decades, the citizens of western Mexico have called for...

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers...

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...

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...

A provocative look at the unconscious mind that challenges contemporary perceptions and exposes the indefensible science that fostered them. How much of a role does the unconscious play in our...

The cultural ramifications of online live streaming, including its effects on identity and power in digital spaces. Some consider live streaming—the broadcasting of video and/or audio footage live online—simply an...

Popular with and respected by instructors and students interested in a modeling approach, graphing, or graphing calculators, this book incorporates the benefits of technology and the philosophy of the reform...

Open Resources for Community College Algebra (ORCCA) is an open-source, openly licensed textbook package (eBook, print, and online homework) for basic and intermediate algebra. At Portland Community College, Part 1...

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive,...

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine...

An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning. Fairness and Machine Learning introduces advanced undergraduate and graduate students to the intellectual...