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Time Series for H2O with Modeltime Apr 22, 2021 H2Oai & AI Machine Learning & Blogging Matt Dancho, founder of Business Science Introduced to H2O-3 via the AutoML package Sample code in R shared Sample H2O Wave App Tutorials Apr 2, 2021 H2Oai & Tutorials & Python & h2o Just like what I did with my general H2O-3 Tutorials, I’m starting a seperate H2O Wave Tutorial post for you all here. I will add to this as I go Install H2O's Wave on AWS Lightsail or EC2 Mar 18, 2021 H2Oai & Tutorials & h2o I recently set had to set up H2O’s Wave Server on AWS Lightsail and build a simple Wave App as a Proof of Concept. If you’ve never heard of H2O Wave Isolation Forests in Oct 11, 2019 h2oai & AI Machine Learning & Tutorials & h2o A new feature has been added to H2O-3 open source, isolation forests. I’ve always been a fan of understanding outliers and love using One Class MLI with RSparkling Jun 1, 2019 AI Machine Learning & h2oai & Blogging Last evening my colleague Navdeep Gill (@Navdeep_Gill_) posted a link to his latest talk titled “Interpretable Machine Learning with RSparkling.” Interpreting Machine Learning Models May 9, 2019 h2oai & AI Machine Learning & Blogging I found this short 8 minute video from H2O World about Machine Learning Feature Engineering in Driverless AI Jan 9, 2019 h2oai & AI Machine Learning & Blogging Dmitry Larko, Kaggle Grandmaster, and Senior Data Scientist at goes into depth on how to apply feature engineering in general and in What's new in Driverless AI? Dec 26, 2018 AI Machine Learning & h2oai & Blogging Arno, H2O’s CTO, gave a great 1+ hour overview in what’s new with Driverless AI version 1.4.1. If you check back in a Open Source Oct 22, 2018 h2oai & AI Machine Learning & Blogging Dear Friend, I’ve been think a lot about open source lately. I’ve also been thinking of closed source and open core too. All those words. What do Machine Learning Interpretability in R Sep 28, 2018 AI Machine Learning & h2oai & Blogging In this video the presenter goes over a new R package called ‘iML.’ This package has a lot of power when explaining global and local feature Matrix Factorization for Missing Values Sep 12, 2018 h2oai & AI Machine Learning & Blogging I stumbled across an interested reddit post about using matrix factorization (MF) for imputing missing values. The original poster was trying to MLI Using LIME Framework Sep 7, 2018 AI Machine Learning & h2oai & Blogging I found this talk to be fascinating. I’ve been a big fan of LIME but never really understood the details of how it works under the hood. I Exploring Aug 10, 2018 AI Machine Learning & h2oai & Blogging A few years ago RapidMiner incorporated a fantastic open source library from That gave the platform Deep Learning, GLM, and a GBT algos, Guide to Getting Started in Data Science Apr 25, 2018 AI Machine Learning & RapidMiner & h2oai & Blogging This is the forward to an updated ultimate guide on getting started in data science. I wanted to write a set of ‘getting started’ posts to share Introduction to Deep Learning Oct 16, 2017 RapidMiner & AI Machine Learning & H2Oai & Blogging This is a great introduction to Deep Learning. I know I learned a few things from Phillip. RapidMiner now can do GPU