Machine learning

Thema UYQM

832 tuit · page 16/21
Formal & Physical Sciences AI — Models & Research
EN

End Term | Doubt Clearing Session

Machine Learning Practice
99 min
4/5
Machine LearningFeature SelectionCross-Validation
Formal & Physical Sciences AI — Models & Research
EN

End term revision Week 9, 10

Machine Learning Techniques
128 min
4/5
PerceptronLogistic RegressionMachine Learning
Formal & Physical Sciences AI — Models & Research
EN

Week 11 & 12 Solve with us

MLT cs2007
121 min
3/5
SVMSoft MarginMargin Violation
Formal & Physical Sciences AI — Models & Research
EN

Week 12 theory

MLT cs2007
100 min
3/5
ClassificationLoss FunctionsHinge Loss
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
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
Formal & Physical Sciences AI — Models & Research
EN

Boot camp on graph foundations models

Mikhail Galkin
76 min
4/5
Graph Neural NetworksFoundation ModelsLink Prediction
Formal & Physical Sciences AI — Models & Research
EN

MLP 25T2 Time series analysis

Machine Learning Practice
27 min
3/5
Time SeriesStationarityADF Test
Applied Sciences & Engineering AI — Models & Research
EN

Créer une App en 10 min avec l'IA

Shubham SHARMA
10 min
4/5
AI App BuilderVibe CodingNo-Code
Formal & Physical Sciences AI — Models & Research
EN

Sasha Rush | Polylogues

Sasha Rush
20 min
4/5
Scaling LawsLarge Language ModelsTest-Time Compute
Formal & Physical Sciences AI — Models & Research
EN

Andrew Gordon Wilson | Polylogues

Andrew Gordon Wilson
29 min
4/5
TransformersKolmogorov ComplexityNo Free Lunch Theorem
Formal & Physical Sciences AI — Models & Research
EN

How Do Transformers Learn Variable Binding?

Raphaël Millière
71 min
4/5
Variable BindingTransformersMechanistic Interpretability