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Top news for Nov 11-17: Best Python modules for data mining; Responsibility for Predictions


 
  
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Best Python modules for data mining; Nate Silver gets Gold on correct election predictions;
Top jobs: Postdoc, Bayesian Inference/ML at Ohio State; Imaging Scientist at Aware



Most viewed news items

  1. Best Python modules for data mining (c comments) - Nov 14, 2012.
  2. Nate Silver gets Gold on correct predictions of US 2012 Elections (c comments) - Nov 7, 2012.
  3. Poll Results: Responsibility for Predictions (c comments) - Nov 13, 2012.
  4. Top news for Nov 4-10: Nate Silver gets Gold on election predictions; Switching Detection Challenge - Nov 11, 2012.
  5. Book Draft: Introduction to Machine Learning - Nov 9, 2012.
  6. Top KDnuggets tweets, Nov 8-11: Making Statistics Simpler - explaining Bayes Rule; Ramp, a python library for rapid machine learning - Nov 12, 2012.
  7. Stanford Data Mining Certificates Online - Nov 6, 2012.
  8. PAW: Predictive Analytics World London 2012, Nov 27-28 - Nov 13, 2012.
  9. Mikut Data Mining Tools spreadsheet (c comments) - Nov 9, 2012.

Most shared

  1. Best Python modules for data mining - Nov 14, 2012.
  2. Poll Results: Responsibility for Predictions - Nov 13, 2012.
  3. Business Analytics using Data Mining - Online Course - Nov 17, 2012.
  4. Data Scientist at Datascope Analytics, Chicago, IL - Nov 17, 2012.
  5. PAW: Predictive Analytics World London 2012, Nov 27-28 - Nov 13, 2012.

Most viewed jobs and positions

  1. Postdoc, Bayesian Inference/Machine Learning at Ohio State U., Columbus, OH and Boston, MA - Nov 8, 2012.
  2. Imaging Scientist at Aware, Bedford, MA - Nov 13, 2012.
  3. Postdoc in Clinical NLP and Data Mining at Cincinnati Children's (CCHMC), Cincinnati, OH - Nov 11, 2012.
  4. Data Scientist/Statistician at Deloitte, Singapore - Nov 14, 2012.
  5. Faculty, Business Analytics, Data/Text Mining, or Large Data at UIC, Chicago, IL - Nov 12, 2012.


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KDnuggets Home » News » 2012 » Nov » Top news for Nov 11-17: Best Python modules for data mining; Responsibility for Predictions  ( < Prev | 12:n27 | Next > )