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Analytics Dispatch 12/4/2017

Hadoop or laptop?

[VIDEO] Livecoding Madness: Let's Build a Deep Learning Library
This is interesting on two levels: “how to build a deep learning library” and "how someone who's not me writes Python” (in this case, the answer is: incredibly fast). - Joel Grus

Five ways to fix statistics
The debate rumbles on and on: how much is bad statistics to blame for poor reproducibility? Nature asked influential statisticians to recommend one change to improve science and found the problem is not numbers, but ourselves. - Nature

Innovating Faster on Personalization Algorithms at Netflix Using Interleaving
“The interleaving approach allows us to quickly prune down the initial set of ranking algorithms to the most promising candidates, enabling us to conduct experiments a rate much faster than traditional A/B testing to identify winning ideas.” - Netflix Technology Blog

Improving Palliative Care with Deep Learning
80% of Americans prefer to spend their final days in their home, but only 20% actually do. This 18-layer deep neural network identifies hospitalized patients with a high risk of death in the next 3-12 months, so they can get access to palliative care sooner. - Stanford ML Group

[PRESENTATION] It Came from the Data Lake
Do you really need a data lake for that project? Or can you replace Hadoop with your laptop? Check out this presentation to learn how to use Python to process larger data sets (5-10 GB) on your local machine. - Vicki Boykis

New from Mode

7 Python Data Science Influencers to Follow
Whether you’re just getting started with Python or you’re already a veteran Pythonista, listening in on conversations among influencers in the community is a great way to stay up to speed.

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