Learning Algorithms
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Learning Algorithms Theory and Applications in Signal Processing, Control and Communications (Electronic Engineering Systems Series) by Phil Mars

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  • 46 Currently reading

Published by CRC Press .
Written in English


  • Communications engineering / telecommunications,
  • Image processing,
  • Mathematics for scientists & engineers,
  • Signal processing,
  • Machine learning,
  • Algorithms (Computer Programming),
  • Signal Processing (Communication Engineering),
  • Automation,
  • Technology & Industrial Arts,
  • Science/Mathematics,
  • General,
  • Adaptive control systems

Book details:

The Physical Object
Number of Pages230
ID Numbers
Open LibraryOL8261210M
ISBN 100849378966
ISBN 109780849378966

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The book “Master Machine Learning Algorithms” is for programmers and non-programmers alike. It teaches you how 10 top machine learning algorithms work, with worked examples in arithmetic, and spreadsheets, not code. The focus is on an understanding on how each model learns and makes predictions. This book has the merit of organizing most of the material about the evaluation of learning algorithms into a homogeneous description, covering both theoretical aspects and pragmatic issues. It is a useful resource for researchers in machine learning, and provides adequate material for graduate courses in machine learning and related fields. merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in arti cial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner.