January 8th, 2016

The Top 10 Most Watched Videos From H2O World 2015

RSS icon RSS Category: Community, Customer, Events, H2O World
Fallback Featured Image

Now that we’re a few months out from H2O World we wanted to share with you all what the most popular talks were by online viewership. The talks covered a variety of topics from introductions, to in-depth examinations of use cases, to wide-ranging panels.
Introduction to Data Science
Featuring Erin LeDell, Statistician and Machine Learning Scientist, H2O.ai
An introductory talk for people new to the field of data science.
Intro to R, Python, Flow
Featuring Amy Wang, Math Hacker, H2O.ai
A hands-on demonstration of how to run H2O in R and Python and an introduction to the Flow GUI.
Machine Learning at Comcast
Featuring Andrew Leamon, Director of Engineering Analysis, Comcast and Chushi Ren, Software Engineer, Comcast
An inside look at how Comcast leverages machine learning across its business units.
Migrating from Proprietary Analytics Stacks to Open Source H2O
Featuring Fonda Ingram, Technical Manager, H2O.ai
A ten-year SAS veteran explains how to migrate from proprietary software to an open source environment.
Top 10 Data Science Pitfalls
Featuring Mark Landry, Product Manager, H2O.ai
A Kaggle champion offers an overview of ten top pitfalls to avoid when performing data science.
Ensembles
Featuring Erin LeDell, Statistician and Machine Learning Scientist, H2O.ai
Another popular talk from Erin, this time providing an overview specifically of ensemble learning.
Sparkling Water
Featuring Michal Malohlava, Software Engineer, H2O.ai
An introduction to Sparkling Water, H2O’s Spark API, by one of its key architects.
Panel – Competitive Data Science
Featuring Arno Candel, Chief Architect, H2O.ai, Phillip Adkins, Data Scientist, Banjo, Nick Kridler, Data Scientist, Stich Fix, Mark Landry, Product Manager, H2O.ai, John Park, Principal Data Scientist, Hewlett-Packard Enterprise, Lauren Savage, Data Scientist, AT&T and Guocong Song, Data Scientist, Playground.Global
A panel discussion covering all aspects of competitive data science.
Survey of Available Machine Learning Frameworks
Featuring Brenden Herger, Data Scientist, Capital One
An overview of available machine learning frameworks and an analysis of why teams use specific ones.
Panel – Industrial Data Science – Practitioners’ Perspective
Featuring SriSatish Ambati, CEO & Cofounder, H2O.ai, Xaviar Amatriain, VP of Engineering, Quora, Scott Marsh, Research & Development Analyst, Progressive Insurance, Taposh Dutta Roy, Manager, Kaiser Permanente, Nachum Shacham, Principal Data Scientist, PayPal and Daqing Zhao, Director of Advanced Analytics, Macy’s.com
A discussion of large data science deployments by the people most familiar with them.
A great selection of talks if we do say so ourselves! Is it too early to start counting the days to H2O World 2016?

Leave a Reply

+
10 Consejos para Convertirte en un Científico de Datos Exitoso

En este mundo que no deja de cambiar y sorprendernos, como científicos de datos debemos

January 19, 2023 - by Favio Vázquez
+
Explaining models built in H2O-3 — Part 1

Machine Learning explainability refers to understanding and interpreting the decisions and predictions made by a

December 22, 2022 - by Parul Pandey
+
H2O.ai at NeurIPS 2022

H2O.ai is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS)

December 6, 2022 - by Marcos V. Conde
+
A Brief Overview of AI Governance for Responsible Machine Learning Systems

Our paper “A Brief Overview of AI Governance for Responsible Machine Learning Systems” was recently

November 30, 2022 - by Navdeep Gill, Abhishek Mathur and Marcos V. Conde
+
H2O World Dallas Customer Talks

After three long years of not having an #H2OWorld, we finally held our first one

November 24, 2022 - by Vinod Iyengar
+
New in Wave 0.24.0

Another Wave release has arrived with quite a few exciting new features. Let's quickly go

November 21, 2022 - by Martin Turoci

Request a Demo

Explore how to Make, Operate and Innovate with the H2O AI Cloud today

Learn More