Machine Learning FundamentalsCovers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.
Introduction to Machine LearningIntroduces key machine learning concepts, such as supervised learning, regression vs. classification, and the K-Nearest Neighbors algorithm.
Introduction to Machine LearningCovers the basics of Machine Learning, including recognizing hand-written digits, supervised classification, decision boundaries, and polynomial curve fitting.
Machine Learning FundamentalsIntroduces the basics of machine learning, covering supervised classification, logistic regression, and maximizing the margin.