While Model Trains

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

Why Open-Source a Model?

Matt Rickard

A compilation of several examples that illustrate the motivation behind open sourcing a machine learning model.

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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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Understanding the beta distribution (using baseball statistics)

David Robinson

"The beta distribution is best for representing a probabilistic distribution of probabilities- the case where we don’t know what a probability is in advance, but we have some reasonable guesses."

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