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2190 results in Pattern Recognition and Machine Learning

Page 38 of 110

  • 1 - Introduction

  • Hui Jiang, York University, Toronto
  • Book:
    Machine Learning Fundamentals
    Published online:
    18 November 2021
    Print publication:
    25 November 2021, pp 1-18
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Machine Learning Fundamentals
  • A Concise Introduction
  • Hui Jiang
  • Published online:
    18 November 2021
    Print publication:
    25 November 2021
  • This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Page 38 of 110