Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications
暫譯: 機器學習與深度學習的基本原理與方法:演算法、工具與應用
Singh, Pradeep
- 出版商: Wiley
- 出版日期: 2022-03-02
- 售價: $8,020
- 貴賓價: 9.5 折 $7,619
- 語言: 英文
- 頁數: 480
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119821258
- ISBN-13: 9781119821250
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相關分類:
DeepLearning、Algorithms-data-structures
海外代購書籍(需單獨結帳)
相關主題
商品描述
Machine learning is regarded to be one of the disruptive technologies that is transforming our life, business, and the global economy. Machine learning and deep learning are the most used, experimented, and researched areas by scientists and engineers of different domains who want to exploit the techniques such as predictive analysis, classification, clustering, image processing, and natural language processing.
This book follows a practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. It also provides case studies illustrating the applications of machine learning and deep learning in different domains which include disease prediction, software defect prediction, online television analysis, medical image processing, etc.
商品描述(中文翻譯)
機器學習被視為一種顛覆性技術,正在改變我們的生活、商業和全球經濟。機器學習和深度學習是科學家和工程師在不同領域中最常使用、實驗和研究的領域,他們希望利用預測分析、分類、聚類、圖像處理和自然語言處理等技術。
本書採取實用的方法,通過應用案例解釋機器學習和深度學習算法的概念。它還提供了案例研究,說明機器學習和深度學習在不同領域的應用,包括疾病預測、軟體缺陷預測、在線電視分析、醫學影像處理等。
作者簡介
Pradeep Singh PhD, is an assistant professor in the Department of Computer Science Engineering, National Institute of Technology, Raipur, India. His current research interests include machine learning, deep learning, evolutionary computing, empirical studies on software quality, and software fault prediction models. He has more than 15 years of teaching experience with many publications in reputed international journals, conferences, and book chapters.
作者簡介(中文翻譯)
Pradeep Singh 博士是印度拉伊普爾國立技術學院計算機科學工程系的助理教授。他目前的研究興趣包括機器學習、深度學習、進化計算、軟體品質的實證研究以及軟體故障預測模型。他擁有超過15年的教學經驗,並在多個知名國際期刊、會議和書籍章節上發表了許多論文。