Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies Writen By John D. Kelleher

PDF BOOK Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

By : John D. Kelleher

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Book Synopsis :

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover

Book Detail :

Author : John D. Kelleher

Pages : 856 pages

Publisher : MIT Press

Language : eng

ISBN-10 : 0262044692

ISBN-13 : 9780262044691

 
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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