Applied Machine Learning
暫譯: 應用機器學習
Gopal, M.
- 出版商: McGraw-Hill Education
- 出版日期: 2019-06-05
- 定價: $2,800
- 售價: 9.0 折 $2,520
- 語言: 英文
- 頁數: 656
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1260456846
- ISBN-13: 9781260456844
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相關分類:
Machine Learning
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相關翻譯:
機器學習及其應用 (簡中版)
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商品描述
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Cutting-edge machine learning principles, practices, and applications
This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.
Coverage includes:
-Supervised learning-Statistical learning-Learning with support vector machines (SVM)-Learning with neural networks (NN)-Fuzzy inference systems-Data clustering-Data transformations-Decision tree learning-Business intelligence-Data mining-And much more
Cutting-edge machine learning principles, practices, and applications
This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.
Coverage includes:
-Supervised learning-Statistical learning-Learning with support vector machines (SVM)-Learning with neural networks (NN)-Fuzzy inference systems-Data clustering-Data transformations-Decision tree learning-Business intelligence-Data mining-And much more
商品描述(中文翻譯)
出版社聲明：從第三方賣家購買的產品，出版社不保證其質量、真實性或對產品中包含的任何在線權益的訪問。
前沿的機器學習原則、實踐和應用
這本綜合性教科書探討了學習的理論基礎，並為讀者提供了應用強大機器學習技術以解決具有挑戰性的現實問題所需的知識。《應用機器學習》逐步展示了如何概念化問題、準確表示數據、選擇和調整算法、解釋和分析結果，以及做出明智的戰略決策。該書以非嚴謹的數學風格呈現，涵蓋了廣泛的機器學習主題，特別強調已經成功應用的方法。
內容包括：
- 監督學習 - 統計學習 - 支持向量機（SVM）學習 - 神經網絡（NN）學習 - 模糊推理系統 - 數據聚類 - 數據轉換 - 決策樹學習 - 商業智慧 - 數據挖掘 - 以及更多。
作者簡介
M. Gopal, is a former professor of IIT Delhi, is a globally known academician with excellent credentials as an author, teacher, and researcher. He is the author or co-author of five books on control engineering.
作者簡介(中文翻譯)
M. Gopal 是印度理工學院德里分校的前教授，擁有卓越的學術背景，作為作者、教師和研究者在全球享有盛譽。他是五本控制工程書籍的作者或合著者。
