01755cam a22002298i 4500 20250104170656.0 190829s2020 nyu b 001 0 eng 9789386279804 eng 004 BluF Blum, Avrim Foundations of Data Science / Avrim Blum, John Hopcroft and Ravi Kannan New Delhi : Hindustan Book Agency , ©2020. xi, 504p. "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, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data"-- Computer Science Statistics Quantitative Research Hopcroft, John E. Kannan, Ravi REF 4422 4422 0 0 0 0 CSE IITTP IITTP GEN 2023-03-21 Book Syndicate 742.50 BS/41838 3 7 004 BLU/F 08785 2025-10-29 00:00:00 2025-08-08 990.00 2023-03-03 BK 0 0 0 0 CSE IITTP IITTP GEN 2023-03-21 Book Syndicate 742.50 BS/41838 2 2 004 BLU/F 08786 2026-05-24 2025-05-28 00:00:00 2025-05-28 990.00 2023-03-03 BK 0 0 0 0 CSE IITTP IITTP REF 2023-04-22 2595.13 BS/41866 REF 004 BluF 08860 4831.15 2023-03-27 REF