Correspondence by the American critic, journalist and feminist traces her intellectual development from age seven to twenty-eight.

"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms...

This is a fascinating collection of first-person narratives from the top psychological scientists of the modern era. These readable essays highlight the most important contributions to theory and research in psychological science, show how the greatest psychological scientists formulate and think about their work, and illustrate how their ideas develop over time. In particular, the authors address what they consider their most important scientific...