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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] Journal of Machine Learning Research, 9, 2579–605.]. Interactive bokeh plot of two-dimensional word-vector data.

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When models are everywhere

O'Reilly on Data

Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. David Foster Wallace had the general structure of the user–product interaction correct. Let’s start by looking at how models impact us. SCREENS, FEEDBACK, AND “THE ENTERTAINMENT”.

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