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Long, easy-to-read article about state-of-the-art data science techniques that you won't learn in a traditional curriculum. It can efficiently solve many problems, for instance in marketing and finance.

This article has the following sections:

  • Introduction
  • General Principle: Working on the Grid, not on the Original Space
  • Density Estimation
  • How to handle non-numeric variables?
  • Supervised Clustering
  • Optimizing the Computations
  • Scale-Invariant Variance 
  • Historical Notes
  • About the Author

Click here to read the article.

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