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portada Computational Optimizations for Machine Learning
Type
Physical Book
Publisher
Language
English
Pages
276
Format
Hardcover
Dimensions
24.4x17x2.2 cm
Weight
0.79 kg.
ISBN13
9783036531861

Computational Optimizations for Machine Learning

Gabbay, Freddy (Author) · Mdpi AG · Hardcover

Computational Optimizations for Machine Learning - Gabbay, Freddy

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Delivery: 15 Sep - 17 Sep Shipping: 5 to 6 business days.
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Synopsis "Computational Optimizations for Machine Learning "

The present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more.It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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