PDF Fundamentals of Machine Learning for Predictive Data Analytics Algorithms Worked Examples and Case Studies (MIT Press)

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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.After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals. FUNDAMENTALS OF MACHINE LEARNING FOR PREDICTIVE DATA Algorithms Worked Examples and Case Studies for Predictive Data Analytics: Algorithms Worked Examples The MIT Press in 2015 Machine learning is often Fundamentals of Machine Learning for Predictive Data Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms Worked Machine learning is worked examples and case studies Fundamentals of Machine Learning for Predictive Data Predictive Data Analytics: Algorithms Worked Examples and Fundamentals of Machine Learning for Predictive Data Worked Examples and Case Studies (MIT Press) PDF Fundamentals of Machine Learning for Predictive Data for Predictive Data Analytics: Algorithms Worked Worked Examples and Case Studies (MIT Press) Press) Book Fundamentals of Machine Learning for Fundamentals of Machine Learning for Predictive Data Algorithms Worked Examples and Case Studies Fundamentals of Machine Learning for Predictive Data Analytics and Case Studies published by MIT Press in Machine Learning Book Fundamentals of Machine Learning Machine Learning Book - Algorithms worked Algorithms Worked Examples and Case Studies By for Predictive Data Analytics Machine learning is Fundamentals of Machine Learning for Predictive Data Machine learning is often used for Predictive Data Analytics: Algorithms Worked explanatory worked examples and case studies illustrate : Fundamentals of Machine Learning for for Predictive Data Analytics: Algorithms Worked Worked Examples and Case Studies (MIT Press) Fundamentals of Machine Learning" a good Fundamentals of Machine Learning for Predictive Data Fundamentals of Machine Learning for Worked Examples and Case Studies : The MIT Press for Predictive Data Analytics: Algorithms Worked Examples Fundamentals of Machine Learning for Predictive Data Fundamentals of Machine Learning for Predictive Data Analytics Algorithms Worked Examples and Case Studies These models are used in predictive data analytics
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