Machine Learning Refined.

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Free Book Machine Learning Refined pdf.
Machine Learning Refined



About The Book:



This text provides a unique approach to machine learning and contains new and intuitive, but rigorous descriptions, of all the basic concepts needed to conduct research, build products, tamper, and play. By prioritizing geometric intuition, computational thinking and real-world practical applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommendation systems, physics and biology, this text provide readers with a clear understanding of the foundational materials as well as practical tools to solve real-world problems.

Information About The Book:



Title: Machine Learning Refined: Foundations, Algorithms, and Applications.
Language: English.
Size: 32.4 Mb.
Pages: 301.
Format: Pdf.
Year: 2016.
Edition: 1.
Author: Jeremy Watt and Reza Borhani, Aggelos K. Katsaggelos.

Contents Of The Book:



Chapter 1: Introduction.
Chapter 2: Fundamentals of numerical optimization.
Chapter 3: Regression.
Chapter 4: Classification
Chapter 5: Automatic feature design for regression.
Chapter 6: Automatic feature design for classification.
Chapter 7: Kernels, backpropagation, and regularized cross-validation.
Chapter 8: Advanced gradient schemes.
Chapter 9: Dimension reduction techniques.


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