南京大学李宇峰老师在2022年开设的高级学习课程,以周志华老师西瓜书为教材,讲述了从模型选择、到强化学习等高级机器学习主题,可供学习参考。
目录内容:
Lecture 1: Basic info for the course [Slide] Introduction [Slide] Lecture 2: Model selection [Slide] Lecture 3: Linear Model [Slide] Support Vector Machine [Slide] Neural Network [Slide] Decision Tree [Slide] Bayesian Model [Slide] Lecture 4: Ensemble Learning [Slide] Lecture 5: Clustering [Slide] Lecture 6: Dimension Reduction [Slide] Lecture 7: Feature Selection [Slide] Lecture 8: Semi-Supervised Learning [Slide] Lecture 9: Multi-Label Learning* [Slide]
《机器学习》(西瓜书) 1-10章和11章之后的区别 • 1-10章,主要介绍了机器学习基本原理和经典 模型(机器学习是有理论基础,有直觉原理的) • 11章后,开始涉及复杂学习模型,应对复杂现 实数据问题(现实世界问题是复杂的)