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sebsen3

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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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