2. Get on the same page. To your business stakeholders, there’s a huge difference between “We saw a 100 point increase in accuracy in the test set of 100,000 examples” and “If we had these ...

A Look Inside 3 Chicago Companies’ Data Science Workflows. Whether you're an enterprise organization or a fast-growing startup, you'll need an effective workflow to successfully manage how your data ...

What are the largest inefficiencies in a data scientist’s workflow? This question was originally answered on Quora by Ben Hamner.

Data science is key to a successful transformation into an AI-powered enterprise. GPU-accelerated data science enables a faster method to improve the efficiency of data science initiatives. Learn ...

Many existing data science projects rely on Snakemake. The more moving parts you have in your data science workflow, the more likely you’ll benefit from automating that workflow with Snakemake.

Deepnote, a startup that offers data scientists an IDE-like collaborative online experience for building their machine learning models, today announced that it has raised a $3.8 million seed round ...

This article was contributed by Sergio Suarez Jr., founder and CEO of TackleAI.. Workflow automation, also called data automation, is the new buzzword in the tech industry, but what is it, really?

Metaflow manages Python data science projects end-to-end, works with any machine learning library, and integrates with AWS cloud services Netflix has open sourced Metaflow, an internally developed ...

KNIME and H2O.ai, the two data science pioneers known for their open source platforms, today announced a strategic partnership that integrates offerin KNIME and H2O.ai Accelerate and Simplify End ...