Finding structure in high dimensional data, methods and fundamental limitations - Boaz Nadler
![](https://i.ytimg.com/vi/OqdETzKdrXM/mqdefault.jpg)
1:05:55
Etale and crystalline companions - Kiran Kedlaya
![](https://i.ytimg.com/vi/nKmYjFoiuYM/mqdefault.jpg)
34:21
Lecture 1
![](https://i.ytimg.com/vi/1Ss2BypcBAY/mqdefault.jpg)
21:17
Visualising High-Dimensional Data with t-SNE
![](https://i.ytimg.com/vi/fjIWADs3zNU/mqdefault.jpg)
1:06:02
Talk by Cheng Wang, Shanghai Jiao Tong University on High-dimensional Statistical Modeling T Seminar
![](https://i.ytimg.com/vi/bqhQ2LWBheQ/mqdefault.jpg)
19:48
Normalization Vs. Standardization (Feature Scaling in Machine Learning)
![](https://i.ytimg.com/vi/QubaGRyZnCo/mqdefault.jpg)
1:17:10
Cobordism Utopia - Jonathan Heckman
![](https://i.ytimg.com/vi/B7ub92OLw1g/mqdefault.jpg)
1:46:04
MIA: Christina Chen, PCA and stratification in GWAS; Alex Bloemendal, primer on random matrix theory
![](https://i.ytimg.com/vi/MnKsxnP2IVk/mqdefault.jpg)
15:50