Cliff Click - H₂O Machine Learning
1,514 views · Published 1 May 2015 · 44:30 · Indexed 10 November 2026
Channel: PyData · 2015 · Science & Technology
PyData Dallas 2015 H2O – Now with a Python interface! It’s open-source Machine Learning, in-memory big-data clustered computing – Math At Scale.H2O has the Worlds Fastest Logistic Regression (by a lot!), Distributed Deep Learning, world’s first (and fastest) distributed Gradient Boosted Method (GBM), plus Random Forest, PCA, Naive Bayes, Cox Proportional Hazards, KMeans++, and much more. And now we can do the same data-munging in python as we've been able to do in R for the past year, built on the same REST/JSON based API. Build test/train splits on tera-scale datasets in seconds, impute the mean, throw out outliers, run group-bys and joins and do all your basic data munging from your standard laptop python / ipython / ide, and yet work on giant datasets. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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