01627cam a22002178i 4500 18837487 20170318092642.0 151029s2016 nyu 000 0 eng 9781107123526 (hardback) PK-LaUMT 006.31 23 WAT-M Watt, Jeremy Machine learning refined : foundations, algorithms, and applications / Jeremy Watt, Reza Borhani, and Aggelos Katsaggelos Cambridge : Cambridge University Press, 2016 286 p. "Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization"-- Machine learning. Borhani, Reza. Katsaggelos, Aggelos Konstantinos, BK 91810 91810 0 0 0 0 01 01 2017-03-18 6 006.31 WAT-M 106452 2025-02-22 2024-10-25 15:52:00 2024-10-25 2017-03-18 BK