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Machine Learning Refined: Foundations, Algorithms, and Applications

Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos




[PDF.oq44] Machine Learning Refined: Foundations, Algorithms, and Applications

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 | #463367 in Books |  2016-11-04 | Original language:English | PDF # 1 |  9.72 x.75 x6.85l,.0 | File type: PDF | 298 pages

||4 of 4 people found the following review helpful.| First of its kind - A true textbook that teaches machine learning with a great balance of math and applications|By SeferTech|I am not a machine learning expert. I am not a machine learning novice. But as I am coming to understand a big part of machine learning is really all about curve fitting - and, as an engineer involved with scientific computing, I do know something about|About the Author| Jeremy Watt received his PhD in Computer Science and Electrical Engineering from Northwestern University, Illinois. His research interests lie in machine learning and computer vision, as well as numerical optimization.

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 wit...

You can specify the type of files you want, for your device.Machine Learning Refined: Foundations, Algorithms, and Applications   |  Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos. A good, fresh read, highly recommended.

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