Avrim Blum, John Hopcroft (New York Cornell University), Ravindran Kannan

Foundations of Data Science

• Gebundenes Buch

Produktbeschreibung

This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of algorithms for data. The material in this book will provide students with the mathematical background they need for further study and research in machine learning, data mining, and data science more generally.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 434
• Erscheinungstermin: 8. Juli 2020
• Englisch
• Abmessung: 260mm x 183mm x 28mm
• Gewicht: 936g
• ISBN-13: 9781108485067
• ISBN-10: 1108485065
• Artikelnr.: 57119283

Autorenporträt

Avrim Blum is Chief Academic Officer at Toyota Technical Institute at Chicago and formerly Professor at Carnegie Mellon University, Pennsylvania. He has over 25,000 citations for his work in algorithms and machine learning. He has received the AI Journal Classic Paper Award, ICML/COLT 10-Year Best Paper Award, Sloan Fellowship, NSF NYI award, and Herb Simon Teaching Award, and is a Fellow of the Association for Computing Machinery (ACM).

Inhaltsangabe

1. Introduction
2. High-dimensional space
3. Best-fit subspaces and Singular Value Decomposition (SVD)
4. Random walks and Markov chains
5. Machine learning
6. Algorithms for massive data problems: streaming, sketching, and sampling
7. Clustering
8. Random graphs
9. Topic models, non-negative matrix factorization, hidden Markov models, and graphical models
10. Other topics
11. Wavelets
12. Appendix.