Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
Language: English
Published by The MIT Press, 2020
- Softcover
- Used
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- Title
- Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
- Author
- Mac Namee, Brian
- Publisher
- The MIT Press
- Publication year
- 2020
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0262044692
- ISBN 13
- 9780262044691
- Edition
- 2nd Edition
- Item weight
- 1,461 grams
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.
The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.
"Synopsis" may belong to another edition of this title.
About the Author
Brian Mac Namee is Associate Professor at the School of Computer Science at University College Dublin
Aoife D'Arcy is CEO of Krisolis, a data analytics company based in Dublin.
"About the title" may belong to another edition of this title.
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