Full day of immersive training with H2O.What is H2O? It is the only alternative to combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one OR many nodes. Combined, these capabilities make it faster, easier, and more cost-effective to harness big data to maximum benefit for the business. Data collection
Scalable Data Science and Deep Learning with H2O In this session, we introduce the H2O data science platform. We will explain its scalable in-memory architecture and design principles and focus on the implementation of distributed deep learning in H2O. Advanced features such as adaptive learning rates, various forms of regularization, automatic data transformations, checkpointing, grid-search, cro
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