slideshare presentation: http://www.slideshare.net/marinasantini1/lecture-3b-decision-trees-1-part Topics: Greediness, Divide and Conquer, Inductive Bias of the Decision Tree, Loss function, Expected loss, Empirical error, Induction.
Lecture 3a: Induction pipeline. Performance evaluation. Lecture 3: Basic Concepts of Machine Learning – Induction & Evaluation from Marina Santini
Opening lecture to the Machine Learning for Language Technology courseat Uppsala University, Sweden. Autumn 2015. Lecture 1: What is Machine Learning? from Marina Santini