July 9th, 2013

Running analysis on the right data!

RSS icon RSS Category: Uncategorized [EN]

All in the day:
Anqi Fu, our wickedly smart Math & Data Science hacker-intern from Stanford this summer, was characterizing GLMNet in R on sparse data and comparing with other tools. We were using a data sets predicting Two Bedroom median rent based on neighborhoods from huduser.org.
DATA: http://www.huduser.org/portal/datasets/fmr/CensusRentData/index.html

She found the analysis brisk and surprisingly fast.. Until we got around to checking the data matrix and the factor
call. Most of the data was missing! So she exclaimed:
[Credits to Addletters.org & Matt Groenig for the Simpsons]

Results of her work “Characterizing GLMNet on Sparse Matrices”, will have to wait for a future post!

Leave a Reply

H2O Wave joins Hacktoberfest

It’s that time of the year again. A great initiative by DigitalOcean called Hacktoberfest that aims to bring

September 29, 2022 - by Martin Turoci
Three Keys to Ethical Artificial Intelligence in Your Organization

There’s certainly been no shortage of examples of AI gone bad over the past few

September 23, 2022 - by H2O.ai Team
Using GraphQL, HTTPX, and asyncio in H2O Wave

Today, I would like to cover the most basic use case for H2O Wave, which is

September 21, 2022 - by Martin Turoci
머신러닝 자동화 솔루션 H2O Driveless AI를 이용한 뇌에서의 성차 예측

Predicting Gender Differences in the Brain Using Machine Learning Automation Solution H2O Driverless AI 아동기 뇌인지

August 29, 2022 - by H2O.ai Team
Make with H2O.ai Recap: Validation Scheme Best Practices

Data Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with H2O.ai session on

August 23, 2022 - by Blair Averett
Integrating VSCode editor into H2O Wave

Let’s have a look at how to provide our users with a truly amazing experience

August 18, 2022 - by Martin Turoci

Start Your Free Trial