Książka Advanced Supervised and Semi-supervised Learning Massih-Reza Amini

Advanced Supervised and Semi-supervised Learning

Theory and Algorithms

Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
248.91
Machine learning is one of the leading areas of artificial intelligence. It concerns the study and d...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2025
strony
300
EAN
9783031999277
Enbook ID
49317526
Waga
656
Wymiary
155 x 235

Pełny opis

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so.

In this situation, learning is about identifying complex shapes and making intelligent decisions. The challenge in completing this task, given all the available inputs, is that the set of potential decisions is typically quite difficult to enumerate. Machine learning algorithms have been developed with the goal of learning about the problem to be handled based on a collection of limited data from this problem in order to get around this challenge.

This textbook presents the scientific foundations of supervised learning theory, the most widespread algorithms developed according to this framework, as well as the semi-supervised and the learning-to-rank frameworks, at a level accessible to master's students. The aim of the book is to provide a coherent presentation linking the theory to the algorithms developed in this field. In addition, this study is not limited to the presentation of these foundations, but it also presents exercises, and is intended for readers who seek to understand the functioning of these models sometimes designated as black boxes.

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