September 25th, 2013

Gradient Boosting Machine in III Acts: Trevor Hastie, Netflix & 0xdata

RSS icon RSS Category: Uncategorized [EN]
Fallback Featured Image

Gradient Boosting Machine in III Acts: Dr. Trevor Hastie, Netflix & 0xdata. Triple Header on Boosting & GBM:
Act I: Trevor Hastie, Of Stanford Mathematical Sciences, the mathematician behind Lasso & GBM speaks of the nuances of the Algorithm.
Act II: Cliff Click, CTO of 0xdata, the implementor of parallel and distributed GBM.
Act III: Antonio Molins, Data Scientist at Netflix, who uses GBM in his practice of data science for Marketing Algorithmic Models.
Boosting is a simple strategy that produces dramatic improvement in prediction performance. It works by sequentially applying a Classification Algorithm to reweighted versions of training data and taking the weighted majority vote of the sequence of classifiers produced.

“In the last 10 years my colleagues and I have been drawn into the machine learning domain, probably after the lure of neural networks. This has led us to offer a statistical perspective on novel and popular techniques arising outside of statistics, such as boosting and support-vector machines. This culminated in our 2001 book “Elements of Statistical Learning”, but the interest continues.”
-Trevor Hastie, http://www.stanford.edu/~hastie

GBM Implementation:

H2O https://github.com/0xdata/h2o/tree/master/src/main/java/hex/gbm
R: http://cran.r-project.org/web/packages/gbm/gbm.pdf<

References:

http://www.stanford.edu/~hastie/Papers/AdditiveLogisticRegression/alr.pdf

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