by Ben Epstein | Dec 5, 2022 | Uncategorized
“The data I work with is always clean, error free, with no hidden biases” said no one that has ever worked on training and productionizing ML models. Uncovering data errors is messy, ad-hoc and as one of our customers put it, ‘soul-sucking but critical work to build...
by Ben Epstein | Nov 7, 2022 | Uncategorized
I’ve spent the last few months thinking heavily about feature stores. It’s the hottest new buzz word in the ML space, and everyone has a distinct implementation laser-focused on their personal use cases. A recent article¹ that I read talked about this exact topic and...
by Ben Epstein | Sep 23, 2022 | Uncategorized
By: Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas, Ben Epstein, Nikita Demir, Anthony Corletti Abstract The quality of underlying training data is very crucial for building performantmachine learning models with wider generalizabilty. However, current machinelearning...
by Ben Epstein | Aug 17, 2022 | Uncategorized
At Galileo, we strongly believe that the key to unlocking robust models is clean, well formed datasets. Although data quality issues are prevalent in production datasets, most modern solutions aren’t built to address these problems effectively. Rather, modern...
by Ben Epstein | Jul 1, 2022 | Uncategorized
Why feature engineering and feature management is as important to your ML project as the algorithm you choose There are endless articles and tutorials on topics in Data Science and ML, from Scikit-learn to Keras to PyTorch. In just a few hours, you can create a GAN to...
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