0 0 H2O - smart1004/doc GitHub Wiki

• slideshare
  https://www.slideshare.net/0xdata/intro-to-machine-learning-with-h2o-and-aws

• sparkling-water
  https://h2oai-web.herokuapp.com/product/sparkling-water/

• Practical Machine Learning with H2O by Darren Cook
  https://www.oreilly.com/library/view/practical-machine-learning/9781491964590/ch01.html

• h2o quick start with sparkling water
  https://www.youtube.com/watch?v=jpzi0-1mKyA

https://support.dominodatalab.com/hc/en-us/articles/115000149063-Deploying-an-H2O-model-as-an-API-endpoint

http://docs.h2o.ai/h2o/latest-stable/h2o-docs/starting-h2o.html

172.31.225.71

• 한글 https://rstudio-pubs-static.s3.amazonaws.com/359032_6d2fa1280f8a40a582c8a40fb46c8c15.html https://statkclee.github.io/data-science/ds-h2o-spark-hadoop.html

https://www.quora.com/Why-would-one-use-H2O-ai-over-scikit-learn-machine-learning-tool

http://projects.rajivshah.com/blog/2016/08/22/H2O_prod/

https://www.alkaline-ml.com/skutil/ https://github.com/tgsmith61591/skutil NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

https://wikibon.com/automated-machine-learning-assessing-available-solutions/