December 26th, 2013

All models are wrong, but some models are useful!

RSS icon RSS Category: Uncategorized
Fallback Featured Image

George Box said that.

There is no best model that works for all of your data. Wolpert reiterates that as the No free lunch theorem.
Model predictive performance is domain specific. What works in one data domain has sometimes very little consequence in another one. Predictably, the rise of Domain Science: Data science needs to get closer to the business unlocking value.
Meanwhile, ensembles are here to stay!
Users want a buffet of algorithms that try to “lock-pick” the data for it's secrets.
Time is eventually the key limiter. Data science efforts have to make best out of the budget for experimentation and use some kind of co-evolutionary technique that picks the “Champion” model of models for your data.
Robust automation and fast analytics can speedup large parts of data smithy.
Still, discovery takes patience & ingenuity.

Leave a Reply

What are we buying today?

Note: this is a guest blog post by Shrinidhi Narasimhan. It’s 2021 and recommendation engines are

July 5, 2021 - by Rohan Rao
The Emergence of Automated Machine Learning in Industry

This post was originally published by K-Tech, Centre of Excellence for Data Science and AI,

June 30, 2021 - by Parul Pandey
What does it take to win a Kaggle competition? Let’s hear it from the winner himself.

In this series of interviews, I present the stories of established Data Scientists and Kaggle

June 14, 2021 - by Parul Pandey
Snowflake on H2O.ai
H2O Integrates with Snowflake Snowpark/Java UDFs: How to better leverage the Snowflake Data Marketplace and deploy In-Database

One of the goals of machine learning is to find unknown predictive features, even hidden

June 9, 2021 - by Eric Gudgion
Getting the best out of H2O.ai’s academic program

“H2O.ai provides impressively scalable implementations of many of the important machine learning tools in a

May 19, 2021 - by Ana Visneski and Jo-Fai Chow
Regístrese para su prueba gratuita y podrá explorar H2O AI Hybrid Cloud

Recientemente, lanzamos nuestra prueba gratuita de 14 días de H2O AI Hybrid Cloud, lo que

May 17, 2021 - by Ana Visneski and Jo-Fai Chow

Start your 14-day free trial today