R-Ladies Cologne & Paris (English) - AutoML in R & Python Using H2O - Erin LeDell скачать в хорошем качестве

R-Ladies Cologne & Paris (English) - AutoML in R & Python Using H2O - Erin LeDell

As part of our "PyLadies 💜 R-Ladies" series, we hosted another event with R-Ladies Paris and PyLadies Paris! As part of this video, you will learn more about the logic of AutoML (automatic machine learning) and learned from Erin how we can use the H2O framework in both Python and R 🚀 ✨AutoML in R & Python using H2O ✨ The focus of this presentation is scalable and automatic machine learning using the H2O machine learning platform in R and Python. H2O is an open source, distributed machine learning platform is designed to scale to very large datasets that may not fit into RAM on a single machine. We will provide a brief overview of the field of Automatic Machine Learning, followed by a detailed look inside H2O’s AutoML algorithm. H2O AutoML provides an easy-to-use interface which automates data pre-processing, training and tuning a large selection of candidate models (including multiple stacked ensemble models for superior model performance), and due to the distributed nature of the H2O platform, H2O AutoML can scale to very large datasets. The result of the AutoML run is a “leaderboard” of H2O models which can be explained using the H2O Explainability interface and easily exported for use in production. ✨ About Erin LeDell ✨ Erin LeDell is the Chief Machine Learning Scientist at H2O.ai, the company that produces the open source, distributed machine learning platform, H2O. At H2O.ai, she leads the H2O AutoML project and her current research focus is automated machine learning. Before joining H2O.ai, she was the Principal Data Scientist at Wise.io (acquired by GE) and Marvin Mobile Security (acquired by Veracode), the founder of DataScientific, Inc. and a software engineer. She is also founder of the Women in Machine Learning and Data Science (WiMLDS) organization (wimlds.org) and co-founder of R-Ladies Global (rladies.org). Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley and has a B.S. and M.A. in Mathematics. Twitter:   / ledell   GitHub: https://github.com/ledell ✨ Additional Resources ✨ 🚀 Slides: https://bit.ly/h2o-slides-pyladies-rl... 🚀 Getting started with #autoML: https://github.com/ledell/phd-thesis 🚀 More on #H2O: https://bit.ly/h2o-paper 🚀 Benchmarking autoML: https://bit.ly/benchmarking-automl 🚀 #ExplainableAI and H2O: https://bit.ly/explainable-ai-h2o 🚀 {agua}: https://agua.tidymodels.org (H2O in #tidymodels) 🚀 H2O Wave: https://wave.h2o.ai/docs/getting-started (a software stack to build browser-based applications) ✨ How to stay in touch ✨ To stay up-to-date with our future events, make sure to also follow us on Twitter (@PyLadiesParis (  / pyladiesparis  , @RLadies_Cologne (  / rladies_cologne  , and @RLadiesParis (  / rladiesparis  ) 👩‍💻