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nibble.ai weekly - Issue #7

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If you're new to Data Science, you'll be glad to learn that Kaggle just launched registration for the
 

nibble dispatch

March 20 · Issue #7 · View online
Curated essays about the future of Data Science. Production Data Science and learning resources for continuous learning. Covers Data Science, Data Engineering, MLOps & DataOps. Curated by people at https://nibble.ai/

If you’re new to Data Science, you’ll be glad to learn that Kaggle just launched registration for their CareerCon 2019, a totally free, totally digital three-day event that’s all about helping new data scientists land their first data science jobs.

We’re reading so much content, that we’d figured it would be a good idea to share our best reads, in particular about topics we care about. Tell us what you think.
What we've been reading
The MIT College of Computing will reorient the Institute to bring the power of computing and AI to all fields at MIT
Why Is It so Hard to Put Data Science in Production?
Learning Resources
Command-line Tools can be 235x Faster than your Hadoop Cluster
Local Interpretable Model-Agnostic Explanations (LIME): An Introduction
Gaussian Mixture Modelling (GMM)
Introduction to 1D Convolutional Neural Networks in Keras for Time Sequences
Fashion Retailing Forecasting, Part 1:  Size Profiles with Maximum Likelihood
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