by TA Yingjun
- 09/25 DT inclass tutorial and assignment 4.
- 10/11 Lab session on Linear Regression model.
- 10/18 lab session on EM/LDA + brief intro to ml algorithms.
- 10/25 TBD
- ml models and algorithms
- Feature Engineering
- Neural Network
- K-Means
- SVM
- Deep Learning And GAN
- NB
- Kmeans
- Ridge and Lasso
- Feature Selection (PCA; SVD; Ridge/Lasso; ) + GitHub
- LDA + Journal/Conference
- Polynominal + BigNames
- KMeans + arxiv?
- Regression Trees
- Deep Learning/Neural Network
- SVM?
- platforms
- github
- kaggle
- arxiv
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Journals & Conferences
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Big Names, celebrities, and anecdotes.