Lecture 5, Challenges to machine learning
Tid: Måndag 15 september 2014 kl 17:00 - 19:00
Plats: E1
Aktivitet: Föreläsning
Lärare: Atsuto Maki ()
Studentgrupper: TCSCM_CSCA_1, TCSCM_CSCD_1, TCSCM_CSCE_1, TCSCM_CSCG_1, TEBSM_1, TITMM_2, TIVNM_HCID_1, TKOMK_3, TMAIM_MAIB_1, TSCRM_1, TSCRM_2, TTMAM_1, TTMAM_2
Topics:
- Challenges to machine learning
- Model complexity and overfitting
- The curse of dimensionality
- Concepts of prediction errors
- The bias-variance trade-off
Related reading:
Chapter 2 and 6.4 from An Introduction to Statistical Learning (Springer, 2013)
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Available online: http://www-bcf.usc.edu/~gareth/ISL/