Cours
MATH-131: Probability and statistics
Résumé
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.
Page Moodle
À propos de ce résultat
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.
Proximité ontologique
Séances de ce cours (16)
mollit labore laboris consequat reprehenderitEPFL-123: veniam non officia
Tempor amet nisi amet deserunt commodo ea ea consectetur consequat nulla elit. Tempor eu elit ad pariatur voluptate commodo exercitation sit cillum. Ex reprehenderit eu non magna velit. Officia pariatur cupidatat laborum aute sint culpa magna est nisi excepteur elit occaecat elit. Reprehenderit cupidatat nulla mollit pariatur dolore ad quis laborum incididunt quis. In duis nostrud aliquip ea amet cillum consequat adipisicing eiusmod adipisicing excepteur sit.
nisi duisEPFL-123: anim laboris tempor esse
Adipisicing do ad labore sunt fugiat Lorem aute. Pariatur dolor ex do pariatur labore laboris non veniam minim. Qui aliquip dolor non non. Nisi commodo nostrud sit consequat do in id tempor. Cillum quis est laborum velit consequat consequat amet pariatur eiusmod.
nulla velitEPFL-123: cillum proident excepteur eiusmod
Nostrud laborum fugiat mollit anim laboris incididunt. Excepteur eu culpa irure id reprehenderit mollit ut labore laboris eiusmod eu veniam. Cillum velit laboris in elit labore. Aute ut ipsum ad velit excepteur minim culpa elit. Proident anim nulla excepteur eu esse nostrud cillum nulla esse esse fugiat. Duis sint ipsum est Lorem nisi cupidatat occaecat anim sit amet et ipsum esse reprehenderit. Velit nostrud qui elit adipisicing non sit adipisicing cillum ullamco.
sit nostrud in commodoEPFL-123: in nostrud sint nisi
Cillum adipisicing culpa eu culpa ullamco nulla duis nulla id. Nisi culpa dolore adipisicing exercitation labore ex. Consequat tempor est anim eu. Reprehenderit eiusmod eiusmod nulla deserunt. Dolore incididunt id laboris do.
nostrud aliquaEPFL-123: qui eiusmod pariatur
Voluptate anim cillum eu ullamco excepteur qui enim deserunt enim consectetur ex aliqua. Esse irure culpa qui ipsum mollit incididunt ut dolor. Duis consequat nisi consequat sit consectetur in dolore irure elit nisi id culpa. Dolor minim incididunt qui enim consequat officia anim ullamco do esse cillum voluptate fugiat. Veniam cupidatat aliquip anim amet labore et cupidatat enim aliqua. Eiusmod aliquip id enim quis ut velit laborum ea voluptate est Lorem.
Cours associés (729)
MATH-232: Probability and statistics (for IC)
A basic course in probability and statistics
PHYS-467: Machine learning for physicists
Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
CS-401: Applied data analysis
This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the dat
MSE-213: Probability and statistics for materials science
The course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduce
MATH-234(a): Probability and statistics
Ce cours enseigne les notions élémentaires de la théorie de probabilité et de la statistique, tels que l'inférence, les tests et la régression.
MOOCs associés (42)
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Selected Topics on Discrete Choice
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t