Tools and Techniques
Entropy, cross-entropy and KL-divergence are often used in machine learning, in particular for training classifiers. This short video explores where they come from and why they're used in machine learning. This is super clear and well-presented.
Cloud services are the backbone of the modern Internet and AWS is one of the most popular. This tutorial walks through the fundamental AWS services that are useful from a data science perspective. Includes descriptions of the services, specific features that are helpful for working with data, costs, tips and tricks. Even if you already work with AWS, this is a nice reference.
This open-source framework for real-time anomaly detection has an ambitious agenda and is worth watching. The initial release includes support for CSV files, column filtering, a couple of basic modeling and scoring options, and auto-generated visualization.
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