Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies Kindle Edition
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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. 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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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. --This text refers to an out of print or unavailable edition of this title.
- ASIN : B084V7ZJ5Z
- Publisher : The MIT Press (October 20, 2020)
- Publication date : October 20, 2020
- Language : English
- File size : 106502 KB
- Text-to-Speech : Enabled
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Lending : Not Enabled
- Best Sellers Rank: #249,436 in Kindle Store (See Top 100 in Kindle Store)
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