Data Elixir Newsletter Archives
Notebooks: the bad parts. JupyterCon highlights. ML startups to watch. NLP generalization. Text mining tutorial. Real-world data compression.
Notebook innovation. Stats & sports. ML cheatsheets. Exploring correlations. R Music. Civic hacking. Cartography Playground.
Wrong about bias? Black Hat data. Sign language for Alexa. Julia 1.0. What’s New w/ TensorFlow? CS books for data scientists. Data viz trickery.
Learning math. Tensor Studio. Case study: Agile ML. A/B Testing Guide. Dashboard conspiracy. Trolls. How black should black-boxes be?
💰 for data. Less bias? Code to cure. The R generation. The modern data science org. How to determine open source project health. Uncertainty viz.
Think you're data-driven? How to value data. Decision trees tutorial. Evolutionary algorithms. Model services for resource constrained orgs.
Totally random. What ML practioneers *really* do. Data oaths. ML conferences around the world. How-to guide for reading papers.
Fast Pandas. Databases 101. Machine Learning w/ R. Creating a data science portfolio. MS Research Open Data. Awesome visualization research.
Failing at Machine Learning. Agile analytics. 2018 Big Data & AI Landscape. Interview red flags. How likely is "likely?"
The Next Big Thing. Data engineering frameworks. Trust-based analytics. Data science vs. stats. Tracking NLP. PostgreSQL tricks & tips.
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