Lectures related to Image Classification: Decision Trees & Random Forests

Related lectures (32)

Introduces linear models for supervised learning, covering overfitting, regularization, and kernels, with applications in machine learning tasks.

Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.