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12 years ago

Recent Submissions

  1. 1. Show HN: CyclicBoosting – efficient, general-purpose machine learning methods (cyclicboosting.org)
  2. 2. Pytanis – all the tooling you need for running a conference (pycon.de) (github.com)
  3. 3. Eryniopsis Lampyridarum (en.wikipedia.org)
  4. 4. Cyclic Boosting – an explainable supervised machine learning algorithm (arxiv.org)
  5. 5. Why Is It So Hard to Put Data Science in Production? (datascience.com)
  6. 6. Show HN: Postgraas-a super simple PostgreSQL-as-a-service using python and docker (github.com)
  7. 7. Predict the Winning Probabilities in the Euro2016 Using Machine Learning (dataiq.co.uk)
  8. 8. How does python's “Conda” work internally? (stackoverflow.com)
  9. 9. German Big Data Start-up Blue Yonder Collects $75M from Warburg Pincus (washpost.bloomberg.com)
  10. 10. Python: Why It Is a Good Fit for Data Science (dataconomy.com)

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