教學目標： This course is intended to provide students with the fundamental concepts and algorithms in Machine Learning. Besides, students could understand and know how to implement solutions to real-world machine learning problems by working through case study predictive modeling problems in python. We will cover a variety of topics, including decision trees, logistic regression, support vector machines, ensemble methods, Bayesian methods, neural networks, clustering, and dimensionality reduction.