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Jupyter tips & tricks. Sports analtyics/viz. Mathematics as thought. A Principled Bayesian Workflow. ML optimization tutorial. PDF table extraction.
Blind spots of the data-driven. Hacker's guide to uncertainty. How to deliver on ML projects. State of NLP. A/V from R. Evolving Data PM roles.
Own your data. Leveling-up your ML skills. Why Julia? Custom loss functions. Experimenting w/ SEO. Decision-trees. ML for visualization.