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Handy Dandy Guide to Working With Timestamps in pandas
Data Science & ML Nov 20, 2020

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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Data Science & ML Nov 3, 2020

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.

Data Science & ML Oct 6, 2020

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 …

Data Science & ML Jul 30, 2020

Random Forest on GPUs: 2000x Faster than Apache Spark

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

Data Science & ML Jul 20, 2020

Supercharging Hyperparameter Tuning with Dask

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

Data Science & ML Jul 19, 2020

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.

Data Science & ML Jul 15, 2020

Setting Up Your Data Science & Machine Learning Capability in Python

Python is a great language to base your DS/ML framework on, and allows you to avoid being locked into one vendor specific framework.