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We publish leading undergraduate and graduate computer science textbooks on modern and emerging topics and applications, including machine learning and data science. Working with inspirational educators around the world, our constant goal is to publish titles that inform and empower the next generation of students, researchers and practitioners.

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New Computer Science titles

Textbook Connecting Discrete Mathematics and Computer Science

2nd edition

David Liben-Nowell, Carleton College, Minnesota

Textbook Introduction to Parallel Programming

Subodh Kumar, Indian Institute of Technology, Delhi

Textbook Introduction to Medical Software

Xenophon Papademetris, Yale University, Connecticut, Ayesha N. Quraishi, Harvard Medical School and Yale University, Connecticut, Gregory P. Licholai, Yale University, Connecticut

Textbook Machine Learning

Andreas Lindholm, Annotell, Sweden, Niklas Wahlström, Uppsala Universitet, Sweden, Fredrik Lindsten, Linköpings Universitet, Sweden, Thomas B. Schön, Uppsala Universitet, Sweden

Textbook Computer Architecture for Scientists

Andrew A. Chien, University of Chicago

Textbook High-Dimensional Data Analysis with Low-Dimensional Models

John Wright, Columbia University, New York, Yi Ma, University of California, Berkeley

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