Machine Learning for Decision Sciences with Case Studies in Python

Sumathi, S., Rajappa, Suresh, Kumar, L. Ashok

Machine Learning for Decision Sciences with Case Studies in Python
  • 出版商: CRC
  • 出版日期: 2022-07-08
  • 售價: $7,240
  • 貴賓價: 9.5 折 $6,878
  • 語言: 英文
  • 頁數: 454
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032193565
  • ISBN-13: 9781032193564
  • 相關分類: Python、程式語言、Machine Learning

    • 下單後立即進貨 (約2~4週)

相關主題

商品描述

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.

Features:

  • Explains the basic concepts of Python and its role in machine learning.

  • Provides comprehensive coverage of feature engineering including real-time case studies.

  • Perceives the structural patterns with reference to data science and statistics and analytics.

  • Includes machine learning-based structured exercises.

  • Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning.

This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.

商品描述(中文翻譯)

本書詳細描述了數據分析中的機器學習算法、數據科學生命周期、Python機器學習、線性回歸、邏輯回歸等。它以實用的方式介紹了機器學習的概念，並提供了在電氣、石油和天然氣、電子商務和高科技行業中的真實案例的完整代碼和實現。重點是Python編程和決策科學中處理數據的模式。

特點：
- 解釋了Python的基本概念及其在機器學習中的作用。
- 提供了包括實時案例研究在內的全面的特徵工程覆蓋。
- 通過數據科學、統計和分析來理解結構模式。
- 包含基於機器學習的結構化練習。
- 理解機器學習的不同算法概念，包括無監督、監督和強化學習。

本書針對數據科學、機器學習、計算機科學以及電氣和計算機工程的研究人員、專業人士和研究生。

作者簡介

Dr. S. Sumathi is working as a Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore with teaching and research experience of 30 years. Her research interests include Neural Networks, Fuzzy Systems and Genetic Algorithms, Pattern Recognition and Classification, Data Warehousing and Data Mining, Operating systems and Parallel Computing. She is the author of more than 40 papers in refereed journals and international conferences. She has authored books with reputed publishers such as Springer and CRC Press.

Dr. L. Ashok Kumar was a Postdoctoral Research Fellow from San Diego State University, California. He is a recipient of the BHAVAN fellowship from the Indo-US Science and Technology Forum and SYST Fellowship from DST, Govt. of India. His current research focuses on integration of Renewable Energy Systems in the Smart Grid and Wearable Electronics. He has 3 years of industrial experience and 19 years of academic and research experience. He has published 167 technical papers in International and National journals and presented 157 papers in National and International Conferences. He has authored 10 books with leading publishers like CRC, Springer and Elsevier. He has completed 26 Government of India funded projects, and currently 7 projects are in progress.

Dr. Suresh Rajappa PhD PMP MBA is seasoned senior IT management consulting professional with 25 years' experience leading large global IT programs and projects in IT Strategy, Finance IT (FINTECH) Transformation Strategy, BI and data warehousing / Data Analytics and Management for multiple fortune 100 clients across diverse industries, generating millions of dollars to top and bottom lines. Successful recruiting and leading onshore/offshore cross-cultural teams to deliver complex enterprise-wide solutions within tight deadlines and budgets. Highly effective at breaking down strategic program/project initiatives into tactical plans and processes to achieve aggressive customer goals. Excel at leveraging strategic partnerships, global resources, process improvements, and best practices to maximize project delivery performance and ROI. Inspirational, solution-focused leader with exceptional ability managing multimillion-dollar P&Ls/budgets and change management initiatives. As an adjunct professor, Dr. Suresh Rajappa teaches data science for graduate and doctoral students at PSG College of technology. His Industry specializations include Utility, Finance (Banking and Insurance) and HiTech Manufacturing. He is a frequent speaker Microsoft PASS conferences, SAP Financials and SAP TechEd conferences on Data Analytics related topics. He also teaches Data Analytics and IT Project Management for Undergraduate and Graduate level students. He is also key note speaker in International Conference on Artificial Intelligence, Smart Grid and Smart City Applications.

Dr. Surekha Paneerselvam is an Assistant Professor (Sr. Gr) in the Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India with 20 years of experience in teaching, industry and research. She has published 35 papers in International and National journals and conferences. She has authored 7 books with leading publishers such as CRC Press and Springer. Her research interests include Control Systems, Computational Intelligence, Machine Learning, Signal and Image Processing, Embedded Systems, Real time operating systems, and Virtual Instrumentation.

作者簡介(中文翻譯)

Dr. S. Sumathi是在印度科英布托爾的PSG科技學院電機工程系擔任教授，擁有30年的教學和研究經驗。她的研究興趣包括神經網絡、模糊系統和遺傳算法、模式識別和分類、數據倉儲和數據挖掘、操作系統和並行計算。她在被引用的期刊和國際會議上發表了40多篇論文。她還與Springer和CRC Press等知名出版商合作撰寫了書籍。

Dr. L. Ashok Kumar是加利福尼亞州聖地亞哥州立大學的博士後研究員。他獲得了印度美國科學和技術論壇的BHAVAN獎學金和印度科技部的SYST獎學金。他目前的研究重點是在智能電網和可穿戴電子產品中整合可再生能源系統。他擁有3年的工業經驗和19年的學術和研究經驗。他在國際和國內期刊上發表了167篇技術論文，並在國內和國際會議上發表了157篇論文。他還與CRC、Springer和Elsevier等領先出版商合作撰寫了10本書。他已完成了26個由印度政府資助的項目，目前還有7個項目正在進行中。

Dr. Suresh Rajappa博士是一位經驗豐富的高級IT管理咨詢專業人士，擁有25年的全球大型IT項目和計劃領導經驗，涉及IT戰略、金融IT（FINTECH）轉型戰略、商業智能和數據倉儲/數據分析以及多個財富100強客戶的管理。他成功招聘和領導跨文化團隊，在緊迫的期限和預算內交付複雜的企業級解決方案。他擅長將戰略計劃/項目分解為戰術計劃和流程，以實現客戶的積極目標。他善於利用戰略合作夥伴關係、全球資源、流程改進和最佳實踐，以最大程度地提高項目交付性能和投資回報率。他是PSG科技學院的兼職教授，教授研究生和博士生的數據科學課程。他在公用事業、金融（銀行和保險）和高科技製造等行業具有專業知識。他經常在Microsoft PASS會議、SAP Financials和SAP TechEd會議上發表有關數據分析的主題演講。他還教授本科和研究生水平的數據分析和IT項目管理課程。他還是國際人工智能、智能電網和智能城市應用國際會議的主題演講嘉賓。

Dr. Surekha Paneerselvam是印度Amrita Vishwa Vidyapeetham學院的Amrita工程學院電機工程系的助理教授，擁有20年的教學、工業和研究經驗。她在國際和國內期刊和會議上發表了35篇論文。她還與CRC Press和Springer等領先出版商合作撰寫了7本書。她的研究興趣包括控制系統、計算智能、機器學習、信號和圖像處理、嵌入式系統、實時操作系統和虛擬儀器。

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