H2O World 2015


November 9 - 11, 2015

Agenda


  • Monday, November 9
  • Tuesday, November 10
  • Wednesday, November 11
9:00 am PST Welcome to H2O and What's new!     Watch On-Demand
Ramanujan Stage

SriSatish Ambati
CEO and co-founder, H2O.ai

Arno Candel
Chief Architect, H2O.ai

Hank Roark
Data Scientist and Hacker, H2O.ai
9:30 am PST Introduction to Data Science     Watch On-Demand
Erdos Stage

Erin LeDell
Data Scientist & Hacker, H2O.ai
9:30 am PST Top 10 Data Science Pitfalls     Watch On-Demand
Ramanujan Stage

Mark Landry
Competition Data Scientist & Product Manager, H2O.ai
10:00 am PST Intro to R, Python, Flow     Watch On-Demand
Erdos Stage

Amy Wang
Math Hacker, H2O.ai
10:00 am PST What's new in R, Python, Flow     Watch On-Demand
Ramanujan Stage

Spencer Aiello
Engineer, H2O

Cliff Click
CTO and co-founder, H2O.ai

Break: 10:30 - 10:45 am PST
10:45 am PST Panel - Practical Data Science - Challenges, pitfalls     Watch On-Demand
Erdos Stage

SriSatish Ambati
CEO and co-founder, H2O.ai

Prasanta Behara
SVP Engineering, ScoreData

Brendan Herger
Data Scientist, Capital One Financial Corporation

Fonda Ingram
Performance Hacker and Technical Marketing, H2O.ai

Mark Landry
Competition Data Scientist & Product Manager, H2O.ai

Nick Martin
Data Scientist & Hacker, H2O
11:30 am PST Python Pipelines     Watch On-Demand
Ramanujan Stage

Spencer Aiello
Hacker, H2O.ai
11:45 am PST Gradient Boosting Method and Random Forest     Watch On-Demand
Erdos Stage

Mark Landry
Competition Data Scientist & Product Manager, H2O.ai

Lunch Break: 12:30 - 1:30 pm PST
1:30 pm PST Deep Learning - Arno     Watch On-Demand
Erdos Stage

Arno Candel
Chief Architect, H2O.ai
1:30 pm PST H2O Rains with Databricks Cloud for Spark     Watch On-Demand
Ramanujan Stage

Richard Garris
Senior Solutions Architect, Databricks

Michal Malohlava
Researcher, 0xdata
2:15 pm PST GLM - Tomas     Watch On-Demand
Erdos Stage

Tomas Nykodym
Engineer & Hacker, H2O.ai
2:15 pm PST GBM and Random Forest - Mark     Watch On-Demand
Ramanujan Stage

Mark Landry
Competition Data Scientist & Product Manager, H2O.ai
3:00 pm PST Ensembles (Erin)     Watch On-Demand
Erdos Stage

Erin LeDell
Data Scientist & Hacker, H2O.ai
3:00 pm PST GLRM     Watch On-Demand
Ramanujan Stage

Anqi Fu
Math Hacker, H2O.ai

Break: 3:45 - 4:00 pm PST
4:00 pm PST Sparkling Water - Michal     Watch On-Demand
Erdos Stage

Michal Malohlava
Hacker & Developer, H2O.ai
4:00 pm PST Panel - Smart Applications     Watch On-Demand
Ramanujan Stage

SriSatish Ambati
CEO and co-founder, H2O.ai

Vinod Iyengar
Director of Marketing & Growth

Kanishk Priyadarshi

Joel Horwitz
Director of Marketing, IBM Analytics

Tom Kraljevic
VP of Customer & Sales Engineering, H2O.ai

Mark Masterson
Application Engineer, Kenandy Inc.

Venkatesh Yadav
‎Sr. Manager, Software Engineering, Adobe
4:45 pm PST Panel - Competitive Data Science     Watch On-Demand
Erdos Stage

Arno Candel
Chief Architect, H2O.ai

Phillip Adkins
Data Scientist, Banjo

Nick Kridler
Data Scientist, Stitch Fix

Mark Landry
Competition Data Scientist & Product Manager, H2O.ai

John Park
Data Scientist, HPE Security Research

Guocong Song
Data Scientist / Software Engineer, Playground.Global
5:00 pm PST Migrating from Proprietary Analytics Stacks to Open Source H2O     Watch On-Demand
Ramanujan Stage

Fonda Ingram
Performance Hacker and Technical Marketing, H2O.ai
5:45 pm PST Building a smart application - Hands on - Tom     Watch On-Demand
Erdos Stage

Tom Kraljevic
VP of Customer & Sales Engineering, H2O.ai
5:45 pm PST Deep Learning     Watch On-Demand
Ramanujan Stage

Arno Candel
Chief Architect, H2O.ai

About this conference


H2O World is bringing together a community of H2O users, customers and experts to share their knowledge and know-how. Over the course of three days, you'll learn how to build predictive models and run machine learning algorithms in Big Data Environments. You'll also learn how use machine learning to build intelligent applications. And finally, you will hear from featured production users of H2O with their specific use cases.

About H2O


H2O is the leading open source machine learning platform for smarter applications. H2O.ai is the silicon valley software company supporting and developing H2O. Leading insurance, healthcare and financial services companies are using H2O to make smarter predictions about churn, pricing, fraud and more. H2O.ai is fostering a grassroots movement of systems engineers, data scientists, data developers and predictive analysts to move machine learning forward. A rapidly growing community of H2O users is now active in more than 5,000 companies worldwide. H2O.ai is a Gartner Cool Vendor in Data Science for 2015.

For more information, visit: http://h2o.ai/