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In this talk, Dmitry shares his approach to feature engineering which he used successfully in various Kaggle competitions. He covers common techniques used to convert your features into numeric representation used by ML algorithms.
Sparkling Water is the newest application on the Apache Spark in-memory platform to extend Machine Learning for better predictions and to quickly deploy models into production. H2O is proud to partner with Cloudera and Databricks to bring this capability to a wide audience. H2O is for data scientists and business analysts who need scalable and fast machine learning. H2O is an open source predictiv
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai - To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
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