Introduction to Driverless AI from H2O.ai

I finally posted a new video on my YouTube channel after a year of no activity. It felt good and is part of my 'content refresh' project I'm working on. In this video I do an introduction to Driverless AI and its EDA capabilities. The forthcoming...

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Building a Machine Learning Framework from scratch

Great article by Florian Cäsar on how his team developed a new machine learning framework. From scratch. In 491 steps! He summarizes the entire process up in this great quote: | *From images, text files, or your cat videos, bits are fed to the...

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How StockTwits Uses Machine Learning

Fascinating behind the scenes interview of StockTwit's Senior Data Scientist Garrett Hoffman. He shares great tidbits on how StockTwits uses machine learning for sentiment analysis. I've summarized the highlights below: Idea generation is a huge...

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The Rise of Machine Learning Trading

This is huge if you ask me. First it was roboadvisers and now the machines are going to take over trading. The machine learning agent found and exploited arbitrage opportunities in the presence of transaction costs in a simulated market proof of...

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AlphaGO Zero learns on its own

The news dropped that Google's new implementation of AlphaGo, called AlphaGO Zero, was able to learn completely on its own. No training set was first used, rather it built it's own training set as it played against the older AlphaGO. Earlier...

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Orange 3 is impressive

I've been keeping a lazy eye on Orange over the years and it's (fairly) recent update has made it quite an impressive contender in the Data Science visual platform space. While it's not RapidMiner, it does have a lot of great things going for it....

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Labeling Training Data Correctly

When you’re dealing with a classification problem in machine learning, good labeled data is crucial. The more time you spend labeling training data correctly, the better. This is because your model’s performance and deployment will depend on it....

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