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Concept

Indépendance (probabilités)

Cours associés (13)

MATH-232: Probabilités et statistique (pour IC)

Cours d'introduction à la théorie des probabilités et aux statistiques. ...

MATH-131: Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

MATH-234(b): Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

CS-450: Algorithms II

A first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a repertory of basic algorithmic solutions to problems in many ...

PHYS-441: Statistical physics of biomacromolecules

Biological macromolecules such as DNA, RNA, proteins and cytoskeletal filaments are polymers. As such, they share a set of properties that are common to any polymer, which are the focus of this course. Details about the protein folding problem will be cove ...

MATH-444: Multivariate statistics

Multivariate statistics focusses on inferring the joint distributional properties of several random variables, seen as random vectors, with a main emphasis on uncovering their underlying dependence structure. This course offers a broad introduction to its ...

EE-613: Machine Learning for Engineers

The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks. ...

MATH-233: Probabilités et statistique

Le cours fournit une initiation à la théorie des probabilités et aux méthodes statistiques pour physiciens. ...

MICRO-110: Probability & statistics for engineers

COM-417: Advanced probability and applications

In this course, various aspects of probability theory are considered. The first part covers the main theorems in the field (law of large numbers, central limit theorem), while the second part focuses on the theory of martingales and concentration inequalit ...

MATH-519: Topics in high-dimensional probability

This is a theoretical course about probability in high dimensions. We will look at some mathematical phenomena appearing as the number of random variables grows large - e.g. concentration of measure or universality. ...

MATH-496: Concentration of measures

This is an introductory course to the concentration of measure phenomenon - random functions that depend on many random variables tend to be often close to constant functions. ...

MATH-231: Probability and statistics I

Introduction to notions of probability and basic statistics. ...

Cours associés (13)

MATH-232: Probabilités et statistique (pour IC)

Cours d'introduction à la théorie des probabilités et aux statistiques. ...

MATH-131: Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

MATH-234(b): Probabilités et statistique

Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...

CS-450: Algorithms II

PHYS-441: Statistical physics of biomacromolecules

MATH-444: Multivariate statistics

EE-613: Machine Learning for Engineers

MATH-233: Probabilités et statistique

Le cours fournit une initiation à la théorie des probabilités et aux méthodes statistiques pour physiciens. ...

MICRO-110: Probability & statistics for engineers

COM-417: Advanced probability and applications

MATH-519: Topics in high-dimensional probability

MATH-496: Concentration of measures

This is an introductory course to the concentration of measure phenomenon - random functions that depend on many random variables tend to be often close to constant functions. ...

MATH-231: Probability and statistics I

Introduction to notions of probability and basic statistics. ...