Save $10 through Sunday. Get the code »

Foundations of Data Science

by , ,

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 and analysis for clustering, probabilistic models for large networks, ...

  • Book Details
  • Seller
Foundations of Data Science
2020, Cambridge University Press, Cambridge

ISBN-13: 9781108485067


Filter Results
Item Condition
Seller Rating
Other Options
Change Currency