Fundamentals of Machine Learning for Predictive Data Analytics second edition is popular PDF and ePub book, written by John D. Kelleher in 2020-10-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Fundamentals of Machine Learning for Predictive Data Analytics second edition can be Read Online from any device for your convenience.
Fundamentals of Machine Learning for Predictive Data Analytics second edition Book PDF Summary
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 unsupervised learning and reinforcement learning.
Detail Book of Fundamentals of Machine Learning for Predictive Data Analytics second edition PDF
- Author : John D. Kelleher
- Release : 20 October 2020
- Publisher : MIT Press
- ISBN : 9780262361101
- Genre : Computers
- Total Page : 853 pages
- Language : English
- PDF File Size : 13,9 Mb
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