机器学习训练营

Learn essential machine learning concepts and techniques through a comprehensive training camp that covers fundamental principles, experimental methods, decision trees, regression analysis, Bayesian learning, instance-based learning, Support Vector Machines (SVM), unsupervised learning, ensemble learning, deep learning basics, swarm intelligence-based machine learning, dataset construction, and algorithm implementation. Apply theoretical knowledge through hands-on projects and complete a final capstone project to demonstrate mastery of machine learning concepts taught by experts from Tsinghua University.