Justin Burruss

Docs

Probability & Statistics

Notes for An Introduction to Statistical Learning

Python and mathematical notes for the ISL Study Group (2025)

• Chapter 2: naive Bayes and k-nearest neighbors
• Chapter 3: least squares and linear regression
• Chapter 4: logistic regression
• Chapter 5: Poisson regression and k-fold cross validation
• Chapter 6: best subset, forward stepwise, principal component analysis
• Chapter 7: natural cubic spline, cubic spline regression
• Chapter 8: regression trees, boosting
• Chapter 9: support vector machines
• Chapter 10: deep learning

Other Notes

• Linear Algebra Notes: linear algebra for statistical learning

R

• Simulating the Monty Hall Problem with R: switch doors for 2:1
• Simulating a variation of the Levine Hat Puzzle with R: triplets for 7:3

Magnetic Confinement Fusion

(2004-2005)

Talks and Posters

• Simplifying FusionGrid Security
• The Resource Oriented Authorization Manager (ROAM)
• Security on the U.S. Fusion Grid
• Grid Performance and Fusion Science

Science Meetings

• Interactive Data Language (IDL)
  • ATAN()
  • Batch Jobs
  • Calling C or Fortran
  • CSV Files
  • Tab-delimited Files
  • Help
  • Preferences
• Fortran
  • Dynamic Memory Allocation
  • Multi-threaded
• MDSPlus
  • Build_With_Error()
  • Calling MDSPlus from Fortran
• Other
  • Certificates
  • Grid Computing During an Experiment
  • Google
  • SSH
  • Mouse Scroll Wheel with XEmacs