H2O.ai is an open source machine learning platform used for predictive analytics and data science. The document discusses H2O.ai's products and algorithms for machine learning tasks like click prediction. It provides an overview of the company, executives and advisors, and the platform's features like its open source APIs for R and Python, Spark integration, and cutting-edge machine learning algorithms like deep learning and gradient boosted machines. An example use case is presented on using H2O.ai to build a click prediction model from a Kaggle competition dataset.

1. H2O.ai
Machine Intelligence
Meetup Hosted by 6Sense, 9/17/2015
Using H2O GBM for Ad Click Prediction

2. H2O.ai
Machine Intelligence
Company Overview
Company
Product
• Team: 35. Founded in 2012, Mountain View, CA
• Stanford Math & Systems Engineers
• FULLY Open Source Leader in Machine & Deep learning
• Ease of Use and Smarter Applications
• FULLY Open Source API’s R, Python, Spark & Hadoop
• Expanding Predictions to Mass Analyst markets

3. H2O.ai
Machine Intelligence
Executive Team
Board of Directors
Jishnu Bhattacharjee // Nexus Ventures
Ash Bhardwaj // Flextronics
Scientific Advisory Council
Trevor Hastie
Stephen Boyd
Rob Tibshirani
Sri Satish Ambati
CEO & Co-founder
DataStax
Cliff Click
CTO & Co-founder
Sun, Java Hotspot
Tom Kraljevic
VP of Engineering
Abrizio, Intel

4. H2O.ai
Machine Intelligence
Product Overview
• Open Source
• R and Python APIs,
Web UI
• Sparkling Water
• Flow interface
• Cutting-edge
algorithms
• Smarter applications

5. H2O.ai
Machine Intelligence
Product Overview
Speed Matters!
No Sampling
Interactive UI
Cutting-Edge Algos
• Time is valuable
• In-memory is faster
• Intelligence as a service
• High speed AND accuracy
• Scale to big data
• Access data links
• Use all data without sampling
• Online modeling with H2O Flow
• Model comparison
• Suite of cutting-edge algorithms
• Deep Learning
• NanoFast Scoring Engine

6. H2O.ai
Machine Intelligence
Use Case: Click Prediction
Kaggle Contest
• Overview
• Data

7. H2O.ai
Machine Intelligence
Use Case: Click Prediction

8. H2O.ai
Machine Intelligence
Start with Baseline

9. H2O.ai
Machine Intelligence
Revisit ERD: Features

10. H2O.ai
Machine Intelligence
Aggregations in H2O
• Group By
o Conditional aggregations
o Count records by User
o Sum clicks by query
• Merge
o Join the results of a group by, for
example, to another data frame by
a key
o E.g. merge record count by user
back into training frame

11. H2O.ai
Machine Intelligence
Better Features

12. H2O.ai
Machine Intelligence
Better Model

13. H2O.ai
Machine Intelligence
Recipe for More Features
From overview by winner: PDF