Classification

Categorical or qualitative outcome variables are ubiquitous. We review some supervised learning methods for classification, and see how these may be applied to observational causal inference.

Joshua Loftus
02-08-2021

Carving nature at its joints

“A good cook gets a new knife every year; he chops! Mediocre cooks change knives monthly; they hack. My knife now has 19 years on it; it’s carved several thousand oxen and the edge is as if I had just taken it from the sharpener. Those joints have gaps, and the knife’s edge no thickness, to put something infinitesimally thin in an empty space?! Effortless! It even allows the edge wander in with ample room to play. That is why, with 19 years on it, this knife’s edge is grindstone fresh.” - Butcher Ding, the Zhuangzi

Slides, notebooks, exercises

Slides for logistic regression lecture (PDF)

Slides for SVM lecture (PDF)

Notebook for seminar

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Loftus (2021, Feb. 8). Neurath's Speedboat: Classification. Retrieved from http://joshualoftus.com/ml4ds/04-classification/

BibTeX citation

@misc{loftus2021classification,
  author = {Loftus, Joshua},
  title = {Neurath's Speedboat: Classification},
  url = {http://joshualoftus.com/ml4ds/04-classification/},
  year = {2021}
}