Machine Learning Refined: Foundations, A
โ Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
๐ Library
๐
2016
๐ Cambridge University Press
๐ English
โฆ LIBER โฆ
๐
Machine Learning Refined: Foundations, Algorithms, and Applications
โ Scribed by Jeremy Watt; Reza Borhani; Aggelos Katsaggelos
- Publisher
- Cambridge University Press
- Year
- 2020
- Tongue
- English
- Leaves
- 593
- Edition
- Second
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Subjects
Machine learning; Optimization
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Machine Learning Refined: Foundations, A
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โ Jeremy Watt; Reza Borhani; Aggelos Katsaggelos
๐ Library
๐
2020
๐ Cambridge University Press
๐ English
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 applica
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โ Borhani, Reza; Katsaggelos, Aggelos Konstantinos; Watt, Jeremy
๐ Library
๐
2020
๐ Cambridge University Press
๐ English
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the e
Machine Learning Refined: Foundations, A
โ Jeremy Watt, Reza Borhani, Aggelos Katsaggelos
๐ Library
๐
2016
๐ Cambridge University Press
๐ English
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 applica