Machine learning

Thema UYQM

832 tuit · page 6/21
Applied Sciences & Engineering AI — Models & Research
EN

MLP End Term Revision

Machine Learning Practice
112 min
4/5
Machine LearningPandasData Preprocessing
Formal & Physical Sciences AI — Models & Research
EN

Peter Bartlett

Peter Bartlett
29 min
4/5
Implicit RegularizationGradient DescentRidge Regression
Formal & Physical Sciences AI — Models & Research
EN

Lorenzo Rosasco

Lorenzo Rosasco
31 min
4/5
Dynamical SystemsMachine LearningKoopman Operator
Formal & Physical Sciences AI — Models & Research
EN

Joan Bruna

Joan Bruna
30 min
4/5
Mean-Field Neural NetworksPropagation of ChaosGradient Flow
Formal & Physical Sciences AI — Models & Research
EN

Austin J Stromme

Austin J. Stromme
28 min
4/5
Langevin DynamicsStochastic Gradient DescentOverparameterization
Formal & Physical Sciences AI — Models & Research
EN

MLP Live session | Week 12

22t1 cs2008
36 min
3/5
Transfer LearningNeural NetworksTensorFlow
Formal & Physical Sciences AI — Models & Research
EN

MIT 6.S191: Reinforcement Learning

Alexander Amini
59 min
4/5
Reinforcement LearningDeep LearningQ-Learning
Formal & Physical Sciences AI — Models & Research
EN

MLT | Week-11 | Session-2

Karthik Thiagarajan
109 min
4/5
BaggingBoostingBias-Variance
Formal & Physical Sciences AI — Models & Research
EN

Continual Learning in AI

Minh Trinh
55 min
4/5
Continual LearningCatastrophic ForgettingStability-Plasticity Dilemma
Formal & Physical Sciences AI — Models & Research
EN

MLP Week 11 Live Session

22t1 cs2008
54 min
4/5
Time SeriesPythonPandas
Formal & Physical Sciences AI — Models & Research
EN

MLT | Week-10

Karthik Thiagarajan
117 min
4/5
Support Vector MachinesMarginLinear Classification
Formal & Physical Sciences AI — Models & Research
EN

MLT | Week 9 - session 2

MLT cs2007
68 min
3/5
Logistic RegressionPerceptronSigmoid Function
Formal & Physical Sciences AI — Models & Research
EN

MLT | Week-9

MLT cs2007
155 min
4/5
PerceptronMachine LearningClassification