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Machine Learning, Revised and Updated Edition

Machine Learning, Revised and Updated Edition


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About the Book

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use everyday, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias.

Alpaydin, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.
About the Author: Ethem Alpaydín is Professor in the Department of Computer Engineering at Özyegin University and a member of the Science Academy, Istanbul. He is the author of the widely used textbook, Introduction to Machine Learning (MIT Press), now in its fourth edition.


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Product Details
  • ISBN-13: 9780262542524
  • Publisher: Mit Press
  • Publisher Imprint: Mit Press
  • Height: 175 mm
  • No of Pages: 280
  • Series Title: MIT Press Essential Knowledge
  • Weight: 304 gr
  • ISBN-10: 0262542528
  • Publisher Date: 17 Aug 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 18 mm
  • Width: 127 mm


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