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Learning Data Science
book

Learning Data Science

by Sam Lau, Joseph Gonzalez, Deborah Nolan
September 2023
Beginner content levelBeginner
596 pages
15h 31m
English
O'Reilly Media, Inc.
Content preview from Learning Data Science

About the Authors

Sam Lau is an assistant teaching professor in the Halıcıoğlu Data Science Institute at University of California, San Diego. He has a decade of teaching experience and helped to design and teach flagship data science courses at UC Berkeley and UC San Diego. His research creates novel interfaces for learning and teaching data science, including the popular Pandas Tutor tool, which serves over 40,000 people per year.

Joseph (Joey) Gonzalez is an associate professor in the EECS department at the University of California, Berkeley, and a founding member of the UC Berkeley RISE Lab. His research interests are at the intersection of machine learning and data systems, including dynamic deep neural networks for transfer learning, accelerated deep learning for high-resolution computer vision, and software platforms for autonomous vehicles. Joey is also cofounder of Turi Inc. (formerly GraphLab), which was based on his work on the GraphLab and PowerGraph systems. Turi was recently acquired by Apple Inc.

Deborah (Deb) Nolan is professor emerita of statistics and associate dean for undergraduates in the College of Computing, Data Science, and Society at the University of California, Berkeley, where she held the Zaffaroni Family Chair in Undergraduate Education. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research. Her pedagogical approach connects research, practice, and education, ...

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Publisher Resources

ISBN: 9781098112998Errata PageSupplemental Content