Index

This is the index of notebooks for my portions of the ESAC statistics workshop, October 27-31 at the ESAC outside Madrid, Spain. The source of this material can be found at http://github.com/jakevdp/ESAC-stats-2014.

You can see the workshop details & agenda here: http://www.cosmos.esa.int/web/esac-science-faculty/esac-statistics-workshop-2014.

Monday

• Morning Session:

  • Model Fitting I (frequentist)
  • Breakout (Solution notebook here)

• Afternoon Session:

  • Model Fitting II (Bayesian)
  • Breakout (Solution notebook here)

Thursday

• Afternoon Session:
  • Introduction to Machine Learning with Scikit-Learn
  • Breakout (Solutions notebook here)

Friday

• Morning Session:

  • Classification: SVMs in-depth
  • Regression: Trees & Forests in-depth
  • Model Validation & Testing
  • Breakout (Solutions notebook here)

• Afternoon Session:

  • Dimensionality Reduction: PCA in-depth
  • Clustering: KMeans in-depth
  • Density Estimation: Gaussian Mixtures in-depth
  • Breakout (There aren't really solutions to this per se... it's more of an open-ended exercise. To see some things I've done with this dataset and these tools, you can refer to our textbook, particularly Figures 10.20-21, Figure 10.22, and Figure 10.23)