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NeurIPS 2019 Reflections

Machine Learning

Highlights, Lowlights, and the Unexpected

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Building a better Patent Classifier

Tutorials

Building a classifier to tell you whether your LIDAR patent will be approved

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Gaussian KDE from Scratch

Machine Learning

Understanding KDE inside and out

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Deploying and Scaling ML

Machine Learning

Practical considerations of scaling and implementing ML in the real world

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Deep Learning Concepts every practicioner should know

Machine Learning

A deep dive into the important 'deep' learning concepts

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Machine Learning Fundamentals

Machine Learning

Fundamentals of all types of machine learning, deep learning or otherwise

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The Math Behind ML (the important stuff)

Machine Learning

Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space

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