Global Governance of AIExplores the importance of global governance in Artificial Intelligence, emphasizing ethical practices, bias issues, and trust in AI technologies.
Understanding ROC CurvesExplores the ROC curve, True Positive Rate, False Positive Rate, and prediction probabilities in classification models.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Nonlinear Supervised LearningExplores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.
Linear Models: BasicsIntroduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.
