H2O Workshop

Hassan NamarvarPrincipal Data Scientist

Oct 8, 2014

2

WHY USE A NEW MACHINE LEARNING TOOL?

Available large-scale ML tools such as Apache Mahout, Vowpal Wabbit, Hadoop RMR, native Spark MLLib have their own issues.

Critical Features for state-of-the-art ML package:

Ease of use

System reliability

In-memory (fast)

Distributed

Extensible (API/SDK)

Accurate algorithms

Visualization (data and results)

…

3

INTRODUCTION TO H2O PLATFORM

H2O is the world’s fastest in-memory open source machine learning library.

Important Features:

Open source licensed under Apache

Scalable in-memory processing for big data (written in Java)

Run on one node or multi-node cluster

High quality implementation of state-of-the-art ML libraries

H2O package for R

Spark+H2O = Sparkling Water

4

WORKSHOP AGENDA

Download the bleeding edge version of platform!

Tutorial on Web API

Upload a real dataset into the platform

Build a CPA model using GLM algorithm

Validate the CPA Model on test set

Build more advanced models: GBMs (Gradient Boost Models) BigData Random Forest Deep Learning Neural Networks

Model selection

5

LET’S DO SOME HACKING!

Download the bleeding edge version of platform from:

http://0xdata.com/download/

Run locally:

cd ~/Downloadsunzip h2o-2.7.0.1533.zipcd h2o-2.7.0.1533.zipjava –Xmx4g –jar h2o.jar

Point your browser to:

http://localhost:54321

6

BUILDING A CPA MODEL RETARGETED VISITS AS A PROXY FOR CONVERSIONS

USER-CENTRIC

Focus on RT Users

Deliver Ads at the optimal times

BETTERPERFORMAN

CELeverage

optimization opportunities

OPTIMAL TIME

Target Users Who Likely Convert

DON’T WASTE IMP.

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GLM MODEL

Screen shot for the CPA model using the GLM algorithm.

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GBM MODEL

Screen shot for the CPA model using the GBM algorithm.

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BigData Random Forest MODEL

Screen shot for the CPA model using the RF algorithm.

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MODEL COMPARISON

Comparing AUC plots of GLM, GBM and RF models on test data:

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LIVE TEST ON A CAR INSURANCE CAMPAIGNTESTED FOR TWO MONTHS AND MEASURED THE PERFORMANCE BY DFA.

The CPA test for a car Insurance campaign showed 58% improvement on eCPA and 57% on conversion rate (CVR).

THANK YOU!