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M2 MASH
Home
List of courses
Bayesian asymptotics
Optimization for ML
High-dimensional Statistics
Advanced Learning
Graphical Models
Optimal Transport
Computational Methods and MCMC
Applied Bayesian Statistics
Mixing times
LLM
Kernel Methods
BNP and Bayesian ML
Journalisme et Données
Mathematics of Deep Learning
Topological Data Analysis
Reinforcement Learning
Inverse Problems
Internship
Timetable
Admissions
Scholarships
M2 MASH
Home
List of courses
Bayesian asymptotics
Optimization for ML
High-dimensional Statistics
Advanced Learning
Graphical Models
Optimal Transport
Computational Methods and MCMC
Applied Bayesian Statistics
Mixing times
LLM
Kernel Methods
BNP and Bayesian ML
Journalisme et Données
Mathematics of Deep Learning
Topological Data Analysis
Reinforcement Learning
Inverse Problems
Internship
Timetable
Admissions
Scholarships
More
Home
List of courses
Bayesian asymptotics
Optimization for ML
High-dimensional Statistics
Advanced Learning
Graphical Models
Optimal Transport
Computational Methods and MCMC
Applied Bayesian Statistics
Mixing times
LLM
Kernel Methods
BNP and Bayesian ML
Journalisme et Données
Mathematics of Deep Learning
Topological Data Analysis
Reinforcement Learning
Inverse Problems
Internship
Timetable
Admissions
Scholarships
BNP and Bayesian ML
Instructor:
Guillaume Kon Kam King
PariSantéCampus, January-March
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