Statistical Machine Learning CMU Spring 2016
Movies Preview
Share or Embed This Item
Flag this item for
- Publisher
- Academic Torrents
- Contributor
- Academic Torrents
Statistical Machine Learning is a second graduate level course in advanced machine learning, assuming students have taken Machine Learning (10-715) and Intermediate Statistics (36-705). The course covers methodology and theoretical foundations.
Function Spaces
Concentration of Measure
Linear Regression
Nonparametric Regression
Linear Classification
Nonparametric Classification
Minimax Theory
Density Estimation
Nonparametric Bayes
Clustering
Graphical Models
Dimension Reduction
Random Matrix Theory
Function Spaces
Concentration of Measure
Linear Regression
Nonparametric Regression
Linear Classification
Nonparametric Classification
Minimax Theory
Density Estimation
Nonparametric Bayes
Clustering
Graphical Models
Dimension Reduction
Random Matrix Theory
- Academictorrents_collection
- video-lectures
- Addeddate
- 2018-07-30 20:21:15
- External-identifier
- urn:academictorrents:07f1555918ed051809f0075fedc0cd469a194c93
- Identifier
- academictorrents_07f1555918ed051809f0075fedc0cd469a194c93
- Ocr
- ABBYY FineReader 11.0 (Extended OCR)
- Ppi
- 300
- Scanner
- Internet Archive Python library 1.8.1
comment
Reviews
There are no reviews yet. Be the first one to
write a review.
1,921 Views
DOWNLOAD OPTIONS
PDF
Uplevel BACK
151.2K
Review.pdf download
15.9M
clustering.pdf download
219.3K
functionspaces.pdf download
344.8K
minimax.pdf download
306.2K
nonparbayes.pdf download
318.3K
nonparclass.pdf download
115.9K
syllabus.pdf download
IN COLLECTIONS
Uploaded by arkiver2 on