Automated Machine Learning and Industrial Applications
暫譯: 自動化機器學習與工業應用

Gangadevi, E., Shri, M. Lawanya, Balusamy, Balamurugan

Automated Machine Learning and Industrial Applications
  • 出版商: Wiley
  • 出版日期: 2025-09-02
  • 售價: $5,920
  • 貴賓價: 9.5 折 $5,624
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394272391
  • ISBN-13: 9781394272396
  • 相關分類: Machine Learning、雲端運算

    • 尚未上市，無法訂購

相關主題

商品描述

The book provides a comprehensive understanding of Automated Machine Learning's transformative potential across various industries, empowering users to seamlessly implement advanced machine learning solutions without needing extensive expertise.

Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML.

Automated Machine Learning and Industrial Applications offers an overview of the basic architecture, evolution, and applications of AutoML. Potential applications in healthcare, banking, agriculture, aerospace, and security are discussed in terms of their frameworks, implementation, and evaluation. This book also explores the AutoML ecosystem, its integration with blockchain, and various open-source tools available on the AutoML platform. It serves as a practical guide for engineers and data scientists, offering valuable insights for decision-makers looking to integrate machine learning into their workflows.

Readers will find the book:

  • Aims to explore current trends such as augmented reality, virtual reality, blockchain, open-source platforms, and Industry 4.0;
  • Serves as an effective guide for professionals, researchers, industrialists, data scientists, and application developers;
  • Explores technologies such as IoT, blockchain, artificial intelligence, and robotics, serving as a core guide for undergraduate and postgraduate students.

Audience

Data and computer scientists, research scholars, professionals, and industrialists interested in technology for Industry 4.0 applications.

商品描述(中文翻譯)

這本書提供了對自動化機器學習（Automated Machine Learning, AutoML）在各行各業轉型潛力的全面理解，使使用者能夠無縫地實施先進的機器學習解決方案，而無需具備廣泛的專業知識。

自動化機器學習（AutoML）是一個自動化機器學習概念在現實世界問題中應用的過程。AutoML過程包括所有步驟，從原始數據集開始，最終構建可部署的機器學習模型。AutoML的目的是讓非專家能夠使用機器學習模型和技術，而不需要太多的機器學習知識。這一進步使數據科學家能夠在短時間內產出最簡單的解決方案和最準確的結果，從而超越傳統的機器學習模型。基於AutoML應用的元學習（meta-learning）、神經網絡架構和超參數優化（hyperparameter optimization）等技術。

《自動化機器學習與工業應用》（Automated Machine Learning and Industrial Applications）提供了AutoML的基本架構、演變和應用的概述。書中討論了在醫療、銀行、農業、航空航天和安全等領域的潛在應用，並針對其框架、實施和評估進行了探討。本書還探討了AutoML生態系統、其與區塊鏈的整合，以及在AutoML平台上可用的各種開源工具。它為工程師和數據科學家提供了實用指南，為希望將機器學習整合到工作流程中的決策者提供了寶貴的見解。

讀者將會發現本書：
- 旨在探索當前趨勢，如擴增實境（augmented reality）、虛擬實境（virtual reality）、區塊鏈（blockchain）、開源平台（open-source platforms）和工業4.0（Industry 4.0）；
- 作為專業人士、研究人員、工業界人士、數據科學家和應用開發者的有效指南；
- 探索物聯網（IoT）、區塊鏈、人工智慧（artificial intelligence）和機器人技術（robotics）等技術，作為本科生和研究生的核心指南。

目標讀者
對工業4.0應用技術感興趣的數據和計算機科學家、研究學者、專業人士和工業界人士。

作者簡介

E. Gangadevi, PhD is an assistant professor in the Department of Computer Science at Loyola College, Chennai, India. She has published two patents, six books, over 18 research papers in international journals, and many book chapters. Her areas of research are machine learning, deep learning, IoT, and cloud computing.

M. Lawanya Shri, PhD is an associate professor in the School of Information Technology and Engineering at Vellore Institute of Technology, India. She has published two books, two patents, and over 50 articles and papers in refereed journals and international conferences. Her research interests include blockchain technology, machine learning, cloud computing, and IOT.

Balamurugan Balusamy, PhD is an associate dean at Shiv Nadar University, Delhi, India with over 12 years of teaching experience. He has published more than 200 papers in international journals, 80 books, and given over 195 talks at various international events and symposia. His contributions focus on engineering education, blockchain, and data sciences.

Rajesh Kumar Dhanaraj, PhD is a professor in the School of Computing Science and Engineering at Symbiosis University, Pune, India. He has contributed to over 25 books on various technologies, 21 patents, and 53 articles and papers in various refereed journals and conferences. His research interests include machine learning, cyber-physical systems, and wireless sensor networks.

作者簡介(中文翻譯)

E. Gangadevi博士是印度金奈洛約拉學院計算機科學系的助理教授。她已獲得兩項專利，出版六本書籍，並在國際期刊上發表超過18篇研究論文及多個書籍章節。她的研究領域包括機器學習、深度學習、物聯網（IoT）和雲計算。

M. Lawanya Shri博士是印度維洛爾科技學院資訊科技與工程學院的副教授。她已出版兩本書籍，獲得兩項專利，並在經過審核的期刊和國際會議上發表超過50篇文章和論文。她的研究興趣包括區塊鏈技術、機器學習、雲計算和物聯網（IoT）。

Balamurugan Balusamy博士是印度德里希夫納達大學的副院長，擁有超過12年的教學經驗。他在國際期刊上發表了超過200篇論文，出版80本書籍，並在各種國際活動和研討會上發表了超過195次演講。他的貢獻集中在工程教育、區塊鏈和數據科學。

Rajesh Kumar Dhanaraj博士是印度浦那的辛比奧西斯大學計算科學與工程學院的教授。他在各種技術方面貢獻了超過25本書籍，擁有21項專利，並在各種經過審核的期刊和會議上發表了53篇文章和論文。他的研究興趣包括機器學習、網絡物理系統和無線感測器網絡。

類似商品