// Databricks notebook source exported at Tue, 28 Jun 2016 09:30:18 UTC

Scalable Data Science

prepared by Raazesh Sainudiin and Sivanand Sivaram

supported by and

The html source url of this databricks notebook and its recorded Uji Image of Uji, Dogen's Time-Being:

sds/uji/week9/17_SparklingWater/031_H2O_sparkling_water

Deep learning with H2O.ai and Spark

  • This notebook provides an introduction to the use of Deep Learning algorithms with H2O.ai and Spark
  • It introduces H2O.ai a distributed machine learning framework
  • It shows an example deep learning application written in H2O.ai (Sparkling water) and Spark

H2O features - overview

http://www.h2o.ai/product/downloads/recommended-systems.pdf ***

  • H2O Core
  • H2O Flow
  • Algorithms
  • Sparkling Water
  • H2O Frame

###H2O.ai - Architecture
https://github.com/h2oai/h2o-3/blob/master/h2o-docs/src/product/architecture/Architecture.md

H2O.ai - Architecture

– Image Credit: Sparkling water

H2O Flow

Watch later (2:28 seconds):

H2O Flow

###Algorithms

####Supervised Learning

####Unsupervised Learning

###H2O.ai - Sparkling water
https://github.com/h2oai/sparkling-water/blob/master/DEVEL.md

H2O.ai - Sparkling water

– Image Credit: Sparkling water

#####Data sharing between RDD, DataFrame and H2OFrame

H2O.ai - Sparkling water

– Image Credit: Sparkling water

APIs

Deep learning booklet

Scalable Data Science

prepared by Raazesh Sainudiin and Sivanand Sivaram

supported by and