Machine Learning: Theory to Applications
Mirtaheri, Seyedeh Leili, Shahbazian, Reza
- 出版商: CRC
- 出版日期: 2022-09-29
- 售價: $6,310
- 貴賓價: 9.5 折 $5,995
- 語言: 英文
- 頁數: 202
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367634538
- ISBN-13: 9780367634537
-
相關分類:
Machine Learning
下單後立即進貨 (約2~4週)
相關主題
商品描述
The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms.
In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications.
商品描述(中文翻譯)
這本書評論了機器學習(ML)的核心概念,同時專注於現代應用。它針對那些希望通過提供技術和實用見解來提升對ML理解的人。它不使用複雜的數學來解釋如何從ML算法中受益。與現有的文獻不同,這本書強調新思想和真實應用場景的核心概念。它從ML的基本概念開始,並將這些概念擴展到不同的深度學習算法。該書介紹了Python的評估工具的基本概念和主要元素,並引導讀者了解ML在自動駕駛汽車、認知決策、通信網絡、安全和信號處理等領域的最新應用。書中還介紹了生成網絡的概念,並重點介紹了生成對抗網絡(GANs)作為改進現有算法性能的工具。
總之,這本書從基本理論到現有算法的分類提供了一條全面的技術路徑,涵蓋了最先進的實用評估工具和方法,使您能夠使用合成數據來提高應用程序的性能。
作者簡介
Seyedeh Leili Mirtaheri is an assistant professor in the Electrical and Computer Engineering Department at Kharazmi University. She holds PhD degrees in computer engineering and also in operations research. She has authored several journal articles and conference proceedings and has also been an author/editor of several books. She has been a guest editor of the Journal of Supercomputing and also the reviewer of many credible journals.
Reza Shahbazian is an assistant professor of Standard Research Institute (Iran) and researcher at Unical. He holds PhD degrees in telecommunications and computer science. He has served as a postdoc researcher on applications of machine learning in telecommunication networks. He has authored several articles in journals and conference proceedings, book chapters and also authored or edited five books.
作者簡介(中文翻譯)
Seyedeh Leili Mirtaheri是Kharazmi大學電機與電腦工程系的助理教授。她擁有計算機工程和運籌學的博士學位。她撰寫了多篇期刊文章和會議論文,並且也是幾本書的作者/編輯。她曾擔任《超級計算期刊》的客座編輯,並且也是許多可信期刊的審稿人。
Reza Shahbazian是Standard Research Institute(伊朗)的助理教授,也是Unical的研究員。他擁有電信和計算機科學的博士學位。他曾擔任應用機器學習於電信網絡的博士後研究員。他在期刊和會議論文、專書章節上撰寫了多篇文章,並且也是五本書的作者/編輯。