Machine learning

Thema UYQM

849 tuit · page 16/22
Muon - Part 2
Formal & Physical Sciences AI — Models & Research
EN

Muon - Part 2

West Coast Machine Learning
83 min
★ ★ ★ ★ ☆ 4/5
MuonNeural NetworksOptimizers
Peter BARTLETT C6
Formal & Physical Sciences AI — Models & Research
EN

Peter BARTLETT C6

Peter Bartlett
96 min
★ ★ ★ ★ ☆ 4/5
Deep LearningStatistical Learning TheoryGradient Flow
Peter BARTLETT C5
Formal & Physical Sciences AI — Models & Research
EN

Peter BARTLETT C5

Peter Bartlett
89 min
★ ★ ★ ★ ☆ 4/5
Deep LearningStatistical Learning TheoryImplicit Regularization
Peter BARTLETT C4
Formal & Physical Sciences AI — Models & Research
EN

Peter BARTLETT C4

Peter Bartlett
92 min
★ ★ ★ ★ ☆ 4/5
Deep LearningStatistical Learning TheoryRademacher Complexity
Peter BARTLETT C2
Formal & Physical Sciences AI — Models & Research
EN

Peter BARTLETT C2

Peter Bartlett
85 min
★ ★ ★ ★ ☆ 4/5
Deep LearningOptimizationKKT Conditions
Revision session 2 - Week 11 &12
Formal & Physical Sciences AI — Models & Research
EN

Revision session 2 - Week 11 &12

MLT cs2007
172 min
★ ★ ★ ☆ ☆ 3/5
Soft Margin SVMEnsemble MethodsAdaBoost
Muon - Part 1
Formal & Physical Sciences AI — Models & Research
EN

Muon - Part 1

West Coast Machine Learning
80 min
★ ★ ★ ★ ☆ 4/5
Muon OptimizerGradient DescentNewton's Method
End Term | Doubt Clearing Session
Formal & Physical Sciences AI — Models & Research
EN

End Term | Doubt Clearing Session

Machine Learning Practice
99 min
★ ★ ★ ★ ☆ 4/5
Machine LearningFeature SelectionCross-Validation
End term revision Week 9, 10
Formal & Physical Sciences AI — Models & Research
EN

End term revision Week 9, 10

Machine Learning Techniques
128 min
★ ★ ★ ★ ☆ 4/5
PerceptronLogistic RegressionMachine Learning
Week 11 & 12 Solve with us
Formal & Physical Sciences AI — Models & Research
EN

Week 11 & 12 Solve with us

MLT cs2007
121 min
★ ★ ★ ☆ ☆ 3/5
SVMSoft MarginMargin Violation
Week 12 theory
Formal & Physical Sciences AI — Models & Research
EN

Week 12 theory

MLT cs2007
100 min
★ ★ ★ ☆ ☆ 3/5
ClassificationLoss FunctionsHinge Loss
Boot camp on invariances in graph learning
Formal & Physical Sciences AI — Models & Research
EN

Boot camp on invariances in graph learning

Risi Kondor, Nadav Dym, Hannah Lawrence
89 min
★ ★ ★ ★ ☆ 4/5
EquivarianceGraph Neural NetworksRepresentation Theory
Boot Camp on Graph Learning
Formal & Physical Sciences AI — Models & Research
EN

Boot Camp on Graph Learning

Ameya Velingker, Haggai Maron, Christopher Morris
98 min
★ ★ ★ ★ ☆ 4/5
Graph LearningTheoretical Computer ScienceMachine Learning
Boot camp on graph foundations models
Formal & Physical Sciences AI — Models & Research
EN

Boot camp on graph foundations models

Mikhail Galkin
76 min
★ ★ ★ ★ ☆ 4/5
Graph Neural NetworksFoundation ModelsLink Prediction
MLP 25T2 Time series analysis
Formal & Physical Sciences AI — Models & Research
EN

MLP 25T2 Time series analysis

Machine Learning Practice
27 min
★ ★ ★ ☆ ☆ 3/5
Time SeriesStationarityADF Test