Graph-Powered Machine Learning
$158.17
- Paperback
503 pages
- Release Date
15 November 2021
Summary
At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs.
Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth loo…
Book Details
| ISBN-13: | 9781617295645 |
|---|---|
| ISBN-10: | 1617295647 |
| Author: | Alessandro Negro |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 503 |
| Release Date: | 15 November 2021 |
| Weight: | 860g |
| Dimensions: | 236mm x 185mm x 30mm |
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About The Author
Alessandro Negro
Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.
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