UCSC Machine Learning – Lecture 11: EM on Brain Imaging, Ensemble Methods, Boosting

University of California, Santa Cruz CSE242 Fall 2022 – Machine Learning

This is a course taught to CS graduate students.

Playlist with all lectures in the Fall 2022 course:

Syllabus:
– Overview of machine learning and key concepts
– Review of Linear Algebra (PCA) and Probability (MAP, ML)
– Regression, loss function and Gradient Descent
– Linear classifier, Perceptron, SVM
– Kernel Method, KNN classifier, Naive Bayes
– Decision Tree, Clustering
– EM Method
– Boosting, Special topics
– Reinforcement Learning
– Neural Networks

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