Topic: Finance & Law

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...

From a former Chief Economist of the World Bank, a brief, balanced, and sobering discussion of globalization trends, their drivers, and effects on inequality. The recent retreat from globalization has...

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...

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...

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve...

Introductory Statistics, 2nd Edition provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a...

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some...

Introductory Business Statistics, 2nd Edition aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and...

Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types...

An international overview of how policy makers, curriculum developers, and school practitioners can integrate computational thinking into K–12 curricula. In today's digital society, computational thinking (CT) is a critical component...

A new social science framework for studying the unprecedented social and economic restructuring driven by digital data. Digital data have become the critical frontier where emerging economic practices and organizational...