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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Deep Learning ideas that have stood the test of time

Denny Britz

An overview of deep learning breakthroughs that have demonstrated their value over time, from AlexNet in 2012 to GPT-3 in 2020.

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A smooth approach to putting machine learning into production

Max Halford

"In online machine learning, the idea is that your model is only allowed to learn from one example at a time. This is contrast to batch learning where all the available data is processed at once."

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