Machine Learning FundamentalsIntroduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.
Applied Machine LearningIntroduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.
Machine Learning FundamentalsCovers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.