Data Elixir Newsletter Archives
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.
🚀 Fast NLP. Model tuning & bias-variance trade-off. Forecasting w/ R. ML datasets. Comparing techniques, compared. Extract data from pdfs.
⚽ World Cup predictions. Real products versus Machine Learning. Tiny apps. Automated feature engineering. Deconstructing D3.
📚🤓 Summer Reading List. Scaling analytics. Data vs models. ML beyond curve fitting. Fake news from the trenches. What exactly is an ML Engineer?
Tricky math. GDPR versus machine learning. Data science for startups. Cross-border data flows. Easy Tensorflow.
Python speed tips. Privacy vs analytics. Failing slow. Scientific debt. Tricking humans. Throwing shade. Data ethics reading list.
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