Part I: General Topics
- The way we read and present academic work
- A brief language guide for statistical writing
- The structure of statistical papers
- Typesetting your manuscript
- Academic Misconduct Cases
Part II: Statistical Topics
Guide for presentations
You are supposed to work as a team (2-4 people) for each presentation topic. Please reply below to select the topic (with “Presentation Topic”) you want to present. This work counts 50% of your final score.
- LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. “Deep learning.” Nature 521.7553 (2015): 436-444. GROUP A.B.C.D
Erhan, Dumitru, et al. “Why does unsupervised pre-training help deep learning?.” Journal of Machine Learning Research 11.Feb (2010): 625-660.
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. “Imagenet classification with deep convolutional neural networks.” In Advances in neural information processing systems, pp. 1097-1105. 2012.
Rönnqvist, Samuel, and Peter Sarlin. “Bank distress in the news: Describing events through deep learning.” arXiv preprint arXiv:1603.05670 (2016).