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Machine Learning (The MIT Press Essential Knowledge), Revised and Updated Edition

      Author: Delcan   |   17 August 2021   |   comments: 0

Machine Learning (The MIT Press Essential Knowledge), Revised and Updated Edition
Machine Learning (The MIT Press Essential Knowledge), Revised and Updated Edition
English | August 17th, 2021 | ISBN: 0262542528 | 280 pages | True EPUB | 0.70 MB

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 Alpaydín 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.

Alpaydín, 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.


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