Fundamentals of Machine Learning for Predictive Data Analytics
John D. Kelleher
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Neuware -The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Seller Inventory # 9780262044691
Bibliographic Details
Title: Fundamentals of Machine Learning for ...
Publisher: The MIT Press Okt 2020
Publication Date: 2020
Binding: Buch
Condition: Neu
Edition: 2nd Edition
About this title
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 behaviour, 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 unsupervised learning and reinforcement learning.
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