Machine learning ideas
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Machine training is one of the fastest developing sections of computer science, with applications in various fields. The purpose of this book is to introduce the reader to the fundamental principles of machine learning and algorithmic paradigms characteristic of him. The book contains an extensive set of fundamental theoretical ideas of machine learning and mathematical calculations, thanks to which these ideas become practical algorithms. Following the presentation of the basic foundations of the discipline, a wide range of topics that have not found sufficient reflection in previous textbooks are considered: computing complexity of training, the concept of bulge and stability, important algorithms, including stochastic gradient networks, neural networks and training in a structured conclusion, as well as very recent theoretical concepts, For example, the Pac-Bayes approach and compression boundaries.
The book was conceived as an increased course for secondary and senior students, fundamental bases and machine learning algorithms are presented in the form available to students and readers who are not specialists in the field of mathematical statistics, computer science, mathematics and technical disciplines.
The most important machine learning algorithms
When you need machine learning
Computational complexity of learning
Teaching neural networks
Assessment of maximum credibility
A tool to extract information from large data sets
The book was conceived as an increased course for secondary and senior students, fundamental bases and machine learning algorithms are presented in the form available to students and readers who are not specialists in the field of mathematical statistics, computer science, mathematics and technical disciplines.
The most important machine learning algorithms
When you need machine learning
Computational complexity of learning
Teaching neural networks
Assessment of maximum credibility
A tool to extract information from large data sets
Author:
Author:Shalev- Schwartz Shai, Ben-David Shai
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-673-5
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