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Handy Dandy Guide to Working With Timestamps in pandas

Using times in pandas can sometimes be tricky--this blog post covers the most common problems.

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Computer Vision at Scale With Dask and PyTorch

This tutorial walks through how to use PyTorch and Dask to train an image recognition model across a GPU cluster.

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Saturn Cloud Hosted Has Launched: GPU Data Science for Everyone!

Our new Saturn Cloud Hosted platform lets data scientists get going with cloud compute in seconds.

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Cross-Entropy Loss Function

When working on a Machine Learning or a Deep Learning Problem, loss/cost functions are used to optimize the model during training. The …

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The Future of Computer Vision with AI Pioneer Senseye

Senseye uses Saturn Cloud to train machine learning models on GPUs at a massive scale.

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Random Forest on GPUs: 2000x Faster than Apache Spark

This blog post compares using RAPIDS and Dask vs Apache Spark for model training

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Supercharging Hyperparameter Tuning with Dask

The distributed computing framework Dask is great for hyperparameter tuning, since you can train different parameter sets concurrently.

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Practical Issues Setting up Kubernetes for Data Science on AWS

Data science has unique workflows that don't always match those of software engineers and require special setup for Kubernetes.

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