Machine learning
By: Alpaydin, Ethem.
Series: The MIT press essential knowledge series. Publisher: Cambridge MIT Press 2021Description: xix, 255p.ISBN: 9780262542524.Subject(s): Machine learning | Artificial intelligenceDDC classification: 006.31 | Al74m Summary: 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, an 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, fairness, and the ethical and legal implications of making decisions based on data.| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | General Stacks | 006.31 Al74m cop.1 (Browse shelf) | Copy.1 | Checked out to ASHUTOSH ANAND (S22023900) | 15/04/2024 | A185747 | |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 006.31 Al74m cop.2 (Browse shelf) | Copy.2 | Checked out to KHUSHBU (S20807051200) | 20/07/2024 | A186032 |
Revised and updated edition
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, an 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, fairness, and the ethical and legal implications of making decisions based on data.
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