Machine Learning Refined
eBook - PDF

Machine Learning Refined

Foundations, Algorithms, and Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Machine Learning Refined

Foundations, Algorithms, and Applications

About this book

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 essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

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Yes, you can access Machine Learning Refined by Jeremy Watt,Reza Borhani,Aggelos K. Katsaggelos in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Elaborazione di segnali. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgements
  9. 1 Introduction to Machine Learning
  10. Part I Mathematical Optimization
  11. Part II Linear Learning
  12. Part III Nonlinear Learning
  13. Part IV Appendices
  14. References
  15. Index