Fundamentals of Machine Learning for Predictive Data Analytics
Algorithms, Worked Examples, and Case Studies
$178.27
- Hardcover
856 pages
- Release Date
19 January 2021
Summary
Machine Learning Approaches for Predictive Data Analytics (Second Edition)
This is a comprehensive introduction to the machine learning approaches used in predictive data analytics, covering both theory and practice.
Machine learning is frequently employed to construct predictive models by identifying patterns within large datasets. These models find application in various predictive data analytics tasks, such as price prediction, risk assessment, forecasting customer behavi…
Book Details
| ISBN-13: | 9780262044691 |
|---|---|
| ISBN-10: | 0262044692 |
| Author: | John D. Kelleher |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 856 |
| Edition: | 2nd |
| Release Date: | 19 January 2021 |
| Weight: | 1.45kg |
| Dimensions: | 229mm x 178mm |
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About The Author
John D. Kelleher
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. He is the coauthor of Data Science and the author of Deep Learning, both in the MIT Press Essential Knowledge series.
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.
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