You might also like

More about Computational Optimizations for Machine Learning

• Book details
• Synopsis
• Trending among others

You get 135 loyalty points

Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Mathematik Grundlagen

• Full title: Computational Optimizations for Machine Learning
• Author: Freddy Gabbay
• Language: English
• Binding: Hardback
• Number of pages: 276
• EAN: 9783036531861
• ISBN: 3036531866
• ID: 38787838
• Publisher: MDPI AG
• Weight: 794 g
• Dimensions: 244 × 170 × 22 mm
• Date of publishing: 18. February 2022

Trending among others

---

---

---