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Top stories in March: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch


7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; More Free Data Mining, Data Science Books and Resources; The Grammar of Data Science: Python vs R.



Most viewed news items

  1. statistics17 common mistakes when doing Machine Learning - Mar 7, 2015.
  2. Deep Learning for Text Understanding from Scratch - Mar 13, 2015.
  3. More Free Data Mining, Data Science Books and Resources - Mar 25, 2015.
  4. Deep Learning, The Curse of Dimensionality, and Autoencoders - Mar 12, 2015.
  5. The Grammar of Data Science: Python vs R - Mar 28, 2015.
  6. 10 Steps to Success in Kaggle Data Science Competitions - Mar 11, 2015. 7
  7. All Machine Learning Models Have Flaws - Mar 3, 2015. 8
  8. PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning - Mar 26, 2015. 9
  9. Analytics, Data Mining, Data Science professionals well compensated - Mar 3, 2015.
  10. SQL-like Query Language for Real-time Streaming Analytics - Mar 12, 2015.

 
 

Most shared

  1. Deep Learning for Text Understanding from Scratch
    convnets
    - Mar 13, 2015.
  2. 7 common mistakes when doing Machine Learning - Mar 7, 2015.
  3. The Grammar of Data Science: Python vs R - Mar 28, 2015.
  4. More Free Data Mining, Data Science Books and Resources - Mar 25, 2015.
  5. PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning - Mar 26, 2015.
  6. Machine Learning Table of Elements Decoded - Mar 11, 2015.
  7. All Machine Learning Models Have Flaws - Mar 3, 2015.
  8. Data Science as a profession - time is now - Mar 30, 2015.
  9. Do We Need More Training Data or More Complex Models? - Mar 23, 2015.
  10. Analytics, Data Mining, Data Science professionals well compensated - Mar 3, 2015.