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Details for:
Graph-Powered Machine Learning
graph powered machine learning
Type:
E-books
Files:
5
Size:
26.3 MB
Uploaded On:
Aug. 22, 2021, 2:06 p.m.
Added By:
tuts756
Seeders:
0
Leechers:
1
Info Hash:
B1A6BEE3AC4F16378CEE45FF45B1C740E572DA7E
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Description 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 look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Book Details Language: English Published: 2021 ISBN: 1617295647 Format: True PDF
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Graph-Powered Machine Learning/Graph-Powered Machine Learning.pdf
26.3 MB
Downloaded from BookRAR.net.txt
62 bytes
Torrent Downloaded from Glodls.to.txt
237 bytes
Graph-Powered Machine Learning/BookRAR.net.txt
71 bytes
[TGx]Downloaded from torrentgalaxy.to .txt
585 bytes
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