Machine Learning Hybridization and Optimization for Intelligent Applications (智能應用的機器學習混合與優化)

Sardar, Tanvir Habib, Pandey, Bishwajeet Kumar

Machine Learning Hybridization and Optimization for Intelligent Applications
  • 出版商: CRC
  • 出版日期: 2024-10-28
  • 售價: $6,390
  • 貴賓價: 9.5 折 $6,071
  • 語言: 英文
  • 頁數: 338
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032737530
  • ISBN-13: 9781032737539
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

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, 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 the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and 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.

商品描述(中文翻譯)

本書討論了現有機器學習技術和演算法的最先進評估，包括混合化和優化。內容涵蓋了透過人工智慧（AI）預測工具的機器學習應用、藥物發現、神經科學、多種影像模式的診斷、功能性磁共振成像的模式識別方法、影像和語音識別、自動語言翻譯、醫療診斷、股市預測、交通預測以及產品自動化。

特色：
- 專注於機器學習技術的混合化和優化
- 使用案例研究應用回顧監督式、非監督式和強化學習
- 涵蓋物聯網、數據科學、雲計算以及分散式和並行計算等多樣領域的最新機器學習應用
- 使用真實世界範例和數據集實驗解釋計算模型
- 包含基於案例研究的機器學習技術和應用的解釋與使用

本書旨在為機器學習、人工智慧和電機工程的研究生和研究人員提供參考。

作者簡介

Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, machine learning, fuzzy logic, and distributed computing using MapReduce.

Bishwajeet Kumar Pandey is a Professor at Department of Intelligent System and Cyber Security, Astana IT University Kazaksthan. He is also a visiting professor at Eurasian National University, Astana, Kazaksthan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He has interest in Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.

作者簡介(中文翻譯)

Tanvir Habib Sardar 是 GITAM 大學班加羅爾校區計算機科學與工程系的助理教授。他在產業和學術界擁有超過十五年的經驗。他的研究領域包括大數據、機器學習、模糊邏輯以及使用 MapReduce 的分散式計算。

Bishwajeet Kumar Pandey 是哈薩克斯坦阿斯塔納資訊科技大學智能系統與網路安全系的教授。他同時也是哈薩克斯坦阿斯塔納的歐亞國立大學（QS 世界排名 355）和馬來西亞吉隆坡的 UCSI 大學（QS 世界排名 300）的客座教授。他對綠色計算、高效能計算、網路物理系統、機器學習和網路安全等領域感興趣。

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