Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / [electronic resource]

• 作者： Kelleher, John D., 1974- author.
• 其他作者：
  • Mac Namee, Brian, author.
  • D'Arcy, Aoife, 1978- author.
  • ProQuest (Firm)
• 其他題名：
  • Algorithms, worked examples, and case studies
• 出版： Cambridge, Massachusetts : MIT Press
• 版本：Second edition.
• 主題： Machine learning. , Data mining. , Prediction theory. , Data Mining , Machine Learning , Apprentissage automatique. , Exploration de donnees (Informatique) , Theorie de la prevision. , COMPUTERS--Artificial Intelligence--General. , Data mining , Machine learning , Prediction theory
• ISBN： 9780262361101 (electronic bk.) 、 0262361108 (electronic bk.) 、 9780262364911 (electronic bk.) 、 0262364913 (electronic bk.)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction to machine learning and data analytics: Machine learning for predictive data analysis -- Data to insights to decisions -- Data exploration -- Predictive data analytics: Information-based learning -- Probaility-based learning -- Error-based learning -- Deep learning -- Evaluation -- Beyond prediction: Beyond prediction: unsupervised learning -- Beyond prediction: reinforcement learning -- Case studies and conclusions: Case study: customer churn -- Case study: galaxy classification -- The art of machine learning for predictive data analytics -- Appendices: Descriptive statistics and data visualization for machine learning -- Introduction to probability for machine learning -- Differentiation techniques -- Introduction to linear algrbra. Includes bibliographical references and index. Available through EBookCentral.
• More
• 摘要註: A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: