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Data Science, Machine Learning, Computing

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Month: December 2016

Deciphering the Neural Language Model

Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. … More

Stacking models for improved predictions

If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models … More

Data Science, Kaggle, Regression

Data Science Links

  • Kaggle
  • R Bloggers
  • Data Science Central
  • Open Data Science Conference
  • KDNuggests

Recent Posts

  • Pancake: A Python package for model stacking
  • An overview of feature selection strategies
  • Time series classification with Tensorflow
  • Machine learning for alchemy
  • Feature Engineering with Tidyverse

Recent Comments

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Archives

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  • December 2016

Categories

  • convolutional neural networks
  • deep learning
  • High dimensional data
  • Machine Learning
  • Physics
  • Python
  • recurrent neural networks
  • Regression Models
  • Time-series
  • web scraping
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