DBTB INT Lukas Biewald r
summary
Says data volume and access have grown so many projects now start by finding previously unused public sources and building simple pipelines to test ideas. Recommends learn to program first, then pull examples from government datasets or web APIs, run ad hoc analyses, and iterate until a pattern or model is reproducible. Mentions building a crowd labeling platform at CrowdFlower as a practical tool for training models and validating results.
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