Overview:  Cleaning, sorting, building basic models, and manual reports are being handled in the background. The future role ...

April 3 — The San Diego Supercomputer Center (SDSC) at the University of California, San Diego, has formally established a new ‘center of excellence’ to assist researchers in creating workflows to ...

Many data scientists today find it burdensome to manually execute all of the steps in a machine learning workflow. Moving and transforming data, training models, then promoting them into production – ...

The big data ecosystem has changed. No longer is it true that people just want to store massive quantities of data. Action is not only needed but must be taken to sustain the viability of an ...

You can cook food in a microwave in minutes. But we don’t say that microwaves “democratized” cooking. Preparing a meal requires much more: selecting and preparing ingredients, optimizing the cooking ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

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 ...

For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Data analytics and machine learning drive smarter business decisions, greater ...