Éditeur : MIT PRESS
ISBN papier: 9780262542524
Parution : 2021
Code produit : 1444446
Catégorisation :
Livres /
Génie /
Informatique /
Ouvrages généraux
Format | Qté. disp. | Prix* | Commander |
---|---|---|---|
Livre papier | En rupture de stock** |
Prix membre : 19,76 $ Prix non-membre : 21,95 $ |
*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.
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.
Livre papier | 0 |
Prix membre : 63,18 $ Prix non-membre : 66,50 $ |
Éditeur : MIT PRESS
ISBN : 262012111
Parution : 2004