While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

What Should Data Scientists Learn?

Peter Baumgartner

Asking 'What happens before I do my job?' and 'What happens after I do my job?' can help with choosing what to learn next.

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In Praise of Small Data

Evan Miller

Unless you are training a model with thousands of parameters, big data should not be seen as a source of value, but rather as a source of cost.

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How to Visualize Filters and Feature Maps in Convolutional Neural Networks

Jason Brownlee

A tutorial on how to gain insights into a CNN by visualizing filters and feature maps.

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