Lectures related to Information gain (decision tree)

Related lectures (12)

Explores regression, classification, linear models, decision trees, and random forests in data analysis.

Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.