Machine Learning: Theory to Applications
暫譯: 機器學習：從理論到應用
Mirtaheri, Seyedeh Leili, Shahbazian, Reza
- 出版商: CRC
- 出版日期: 2022-09-29
- 售價: $6,160
- 貴賓價: 9.5 折 $5,852
- 語言: 英文
- 頁數: 202
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367634538
- ISBN-13: 9780367634537
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相關分類:
Machine Learning
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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)
這本書回顧了機器學習（ML）的核心概念，同時專注於現代應用。它旨在幫助那些希望提升對機器學習理解的人，提供技術性和實用性的見解。書中不使用複雜的數學來解釋如何從機器學習算法中獲益。與現有文獻不同，本書提供了核心概念，強調新穎的想法和真實的應用場景。它從機器學習的基本概念開始，並將這些概念擴展到不同的深度學習算法。書中介紹了評估工具的基本要素，並使用 Python 進行說明，帶您了解機器學習在自駕車、認知決策、通信網絡、安全性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，並專注於生成對抗網絡（GANs）作為改善現有算法性能的工具。
總之，這本書提供了一條從基本理論到現有算法分類的全面技術路徑，涵蓋了最先進的實用評估工具和方法，幫助您使用合成數據來提升應用的性能。
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 是卡哈拉茲米大學電機與計算機工程系的助理教授。她擁有計算機工程和運籌學的博士學位。她已發表多篇期刊文章和會議論文，並且擔任過幾本書籍的作者/編輯。她曾擔任《超級計算期刊》的客座編輯，並且是許多可信期刊的審稿人。
Reza Shahbazian 是伊朗標準研究所的助理教授及Unical的研究員。他擁有電信和計算機科學的博士學位。他曾擔任博士後研究員，專注於機器學習在電信網絡中的應用。他已在期刊和會議論文中發表多篇文章，並撰寫或編輯了五本書籍的章節。
