Displaying items by tag: KDD - Diary of a Data Scientist

Blog posts like “Reservoir Sampling and Neural Networks for Streaming Data and the IoT” or “Up-Lift Modelling for Cancer Treatments” are interesting and useful to data scientists in particular fields or to particularly creative and savvy readers. However, starting out with esoteric use cases or technical descriptions of specific technologies severely limits the “what,” “why,” and “how” of analysis, if not leaving it out altogether. Leading with current results and building value first is a boon to everyone.

Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists.

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