Jo-fai Chow

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Jo-fai (Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at external events. Joe has a background in water engineering. Before his data science journey, he was an EngD researcher at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK ...

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Jo-fai Chow

Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny

Automatic and Interpretable Machine Learning in R with H2O and LIME

Automatic and Interpretable Machine Learning with H2O and LIME

H2O at Berlin R Meetup

H2O at BelgradeR Meetup

Introduction to H2O and Model Stacking Use Cases

H2O at Poznan R Meetup

Introduction to Machine Learning with H2O and Python

Introduction to Machine Learning with H2O and Python

From Kaggle to H2O - The True Story of a Civil Engineer Turned Data Geek

H2O Deep Water - Making Deep Learning Accessible to Everyone

H2O Deep Water - Making Deep Learning Accessible to Everyone

Project "Deep Water"

H2O Machine Learning Use Cases

Kaggle Competitions, New Friends, New Skills and New Opportunities

Using H2O Random Grid Search for Hyper-parameters Optimization

Introduction to Generalised Low-Rank Model and Missing Values

Improving Model Predictions via Stacking and Hyper-parameters Tuning

Kaggle competitions, new friends, new skills and new opportunities

Deploying your Predictive Models as a Service via Domino