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Machine Learning Hybridization And Optimization For Intelligent Applications Edited By Tanvir Habib Sardar Bishwajeet Kumar Pandey

  • SKU: BELL-59986924
Machine Learning Hybridization And Optimization For Intelligent Applications Edited By Tanvir Habib Sardar Bishwajeet Kumar Pandey
$ 31.00 $ 45.00 (-31%)

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Machine Learning Hybridization And Optimization For Intelligent Applications Edited By Tanvir Habib Sardar Bishwajeet Kumar Pandey instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 55.46 MB
Pages: 367
Author: Edited by Tanvir Habib Sardar & Bishwajeet Kumar Pandey
ISBN: 9781003465775, 9781032737539, 1032737530, 1003465773
Language: English
Year: 2025

Product desciption

Machine Learning Hybridization And Optimization For Intelligent Applications Edited By Tanvir Habib Sardar Bishwajeet Kumar Pandey by Edited By Tanvir Habib Sardar & Bishwajeet Kumar Pandey 9781003465775, 9781032737539, 1032737530, 1003465773 instant download after payment.

This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.

Features

• Focuses on hybridization and optimization of machine learning techniques.

• Reviews supervised, unsupervised and reinforcement learning using case study based applications.

• Covers latest machine learning applications in diverse domains as IoT, data science, cloud computing, distributed and parallel computing.

• Explains computing models using real world examples and dataset based experiments.

• Includes case study based explanations and usage for machine learning technologies and applications

This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.

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