July 2016
Intermediate to advanced
278 pages
6h 48m
English
Content preview from Advanced Machine Learning with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Further reading
Perhaps the most wide-ranging and informative tour of Ensembles and ensemble types is provided by the Kaggle competitor, Triskelion, at http://mlwave.com/kaggle-ensembling-guide/.
For discussion of the Netflix Prize-winning model, Pragmatic Chaos, refer to http://www.stat.osu.edu/~dmsl/GrandPrize2009_BPC_BellKor.pdf. For an explanation by Netflix on how changing business contexts rendered that $1M-model redundant, refer to the Netflix Tech blog at http://techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.html.
For a walkthrough on applying random forest ensembles to commercial contexts, with plenty of space given to all-important diagnostic charts and reasoning, consider Arshavir Blackwell's blog at https://citizennet.com/blog/2012/11/10/random-forests-ensembles-and-performance-metrics/ ...
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