Machine Learning (eBook)

Ethem Alpaydin (Autor)

eBook Download: PDF

2021
280 Seiten
The MIT Press (Verlag)
978-0-262-36536-9 (ISBN)

Infos

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 "e;the new AI."e; 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 "e;Big Data"e; 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.

Produkt-Details

• Erscheint lt. Verlag: 17.8.2021
• Sprache: englisch
• Themenwelt: Geschichte ► Teilgebiete der Geschichte ► Technikgeschichte
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik
• ISBN-10: 0-262-36536-7 / 0262365367
• ISBN-13: 978-0-262-36536-9 / 9780262365369