H2O World 2017 has ended

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H2O World 2017

#1

Automatic Machine Learning + Hands-on Labs on H2O3 - Erin Ledell - H2O.ai

#2

Keynote - SriSatish Ambati - CEO H2O.ai

#3

Keynote - Stephen Boyd - Professor, Stanford University

#4

Keynote - Jim McHugh - VP NVIDIA

#5

Driverless AI - Introduction and a Look Under the Hood + Hands-On Labs - Arno Candel - H2O.ai

#6

Registration & Breakfast

#7

Explaining Black-Box Machine Learning Predictions - Sameer Singh - UC Irvine

#8

Lunch

#9

Design Patterns for Machine Learning in Production - Sergei Izrailev - BeeswaxIO

#10

Credit Trends and Machine Learning - Michele Raneri - Experian

#11

Drive Away Fraudsters With Driverless AI - Venkatesh R. - PayPal

#12

A 2017 retrospective on AI in Healthcare and Life Sciences: Data, Algorithms and Infrastructures - Sanjay Joshi - H2O.ai

#13

Healthcare, Spark, H2O, EMR, Production - Adam Sullivan - Change Healthcare

#14

Financial Services Panel

#15

Evening Reception

#16

Repurposing data to solve emerging business problems - Arturo Castellanos - CUNY

#17

PM Break

#18

Equifax Ignite - More Data. Better Insights. Faster Implementation - David Ferber & Pinaki Ghosh - Equifax

#19

HR Analytics: Using Machine Learning to Predict Employee Turnover - Matt Dancho - Business Science

#20

Bringing scientists to data to accelerate discoveries and improve human health - Somalee Datta - Stanford University

#21

Healthcare Panel

#22

Anti-Money Laundering - Ashrith Barthur - H2O.ai

#23

Predicting and Preventing Avoidable Truck Rolls (ATR) - Bernard Burg, Bhavana Bhasker, Ryan March - Comcast

#24

Keynote - Rob Tibshirani - Professor, Stanford University

#25

Supervised Learning with Unstructured Text Data - Megan Kurka - H2O.ai

#26

Keynote - Eddy Ortiz - VP, Innovation & Solution Acceleration- RBC

#27

Robust approach to machine learning models comparison - Dmitry Larko - H2O.ai

#28

Use of H2O for Mobile Transaction Anomaly detection - Donald Gennetten & Rahul Gupta - Capital One

#29

Keynote - Jeff Herbst - VP Business Development, NVIDIA

#30

Hands-on Lab - Sparkling Water - Jakub Hava - H2O.ai

#31

Driverless Hands-on focused on Machine Learning Interpretability - Patrick Hall, Navdeep Gill, Mark Chan - H2O.ai

#32

Breakfast & Networking

#33

Auto Visualization - Leland Wilkinson - H2O.ai

#34

Distributed Learning of Rule Ensemble Models with H2O - Giovanni Seni - Amazon's A9

#35

Deep learning-based AI for the Enterprise - Sumit Gupta - IBM

#36

Kaggle Grandmaster Panel

#37

Leakage in Meta Modeling And Its Connection to HCC Target-Encoding - Mathias Müller - H2O.ai

#38

Driver Vs Driverless AI - Mark Landry - H2O.ai

#39

Natural Language Processing - Darren Cook - QQ Trend

#40

Scaling Machine Learning at Booking.com with H2O Sparkling Water and FeatureStore - Luca Falsina & Ben Teeuwen - Booking.com

#41

Hands-on Lab - H2O4GPU - Jonathan C. McKinney - H2O.ai

#42

Lunch

#43

AM Break

#44

GPU-powered Visualization, Data Analysis and Machine Learning - Ashish Sahu & Mateusz Dymczyk - Mapd Technologies & H2O.ai

#45

AI in Enterprise Panel

#46

Best Practices for Enterprises Taking a Platform-Based Approach to Data Science - William Merchan - Datascience.com

#47

Machine Learning in HCM - Xiaojing Wang - ADP

#48

Closing Remarks with Sri

#49

How to design deep networks to process images on mobile devices - Karunkar Singamreddy - Digitalist Group

#50

Talk by Matt Dowle