Genetic algorithms for Python

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Author:Virsanski Ayal
Cover:Hard
Category:Computer & Technology
ISBN:978-5-97060-857-9
Dimensions: 171x18x241cm
Genetic algorithms are a family of search algorithms, optimization and training, drawing ideas from natural evolution. Thanks to the imitation of evolutionary processes, genetic algorithms are how to overcome the difficulties inherent in traditional search algorithms, and find high -quality solutions in various tasks. This book will help to master a powerful, but at the same time simple approach to the use of genetic algorithms written in Python, and get acquainted with the latest achievements in the field of artificial intelligence.
After a review of genetic algorithms and descriptions of the principles, the author talks about their differences from traditional algorithms and about the types of tasks to which they are applicable, such as: planning, compilation of schedules, games and analysis of functions. You will also learn about how genetic algorithms can improve the quality of machine and deep training models, solve the tasks of training with reinforcements and carry out the reconstruction of images. Finally, it will be mentioned of some related technologies that open up new opportunities for future applications.
The book is addressed to programmers, data processing specialists and AI enthusiasts who want to apply genetic algorithms in solving practical problems. Python language is required at the working level and the basic knowledge of mathematics and computer science
Author:
Author:Virsanski Ayal
Cover:
Cover:Hard
Category:
  • Category:Computer & Technology
ISBN:
ISBN:978-5-97060-857-9

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