November 12th, 2013

Distributed Deep Learning with H2O in the Cloud @ Ebay

RSS icon RSS Category: Uncategorized
Fallback Featured Image

Cyprien Noel will present hand-picked algorithms that work on H2O at scale and a survey of the space. We will walk users through the a couple of datasets (mnist) and demonstrate the power of Multi-layer Neural Networks at Scale in EC2.

 
Learn more and sign up at http://www.meetup.com/Silicon-Valley-Big-Data-Science/events/132780102/

Leave a Reply

What Are Feature Stores and Why Are They Important?

Machine learning (ML) models are only as good as the data fed into them. In

January 18, 2022 - by Adam Murphy
A Beginner’s View of H2O MLOps

Note: this is a community blog post by Shamil Dilshan Prematunga. It was first published

January 15, 2022 - by Jo-Fai Chow
Shapley Values – A Gentle Introduction

If you can't explain it to a six-year-old, you don't understand it yourself. - Albert

January 11, 2022 - by Adam Murphy
The Bond Market & AI: How MarketAxess Brings it All Together

The vast majority of the equities market trades electronically while the bond market is still

January 11, 2022 - by Ian Gomez
H2O Release 3.36 (Zorn)

There’s a new major release of H2O, and it’s packed with new features and fixes! Among

January 7, 2022 - by Michal Kurka
1st Place Winner’s Blog – Kaggle 2021 Data Science and Machine Learning Survey

Kaggle, the largest global community of data scientists, conducted the 5th annual industry-wide survey that

January 4, 2022 - by Shivam Bansal and KunHao Yeh

Start your 14-day free trial today