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Débute 4 June 2026 07:18

Se termine 4 June 2026

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Basics of Machine Learning

Plongez dans le monde de l'intelligence artificielle avec le cours "Les bases de l'apprentissage automatique" proposé par l'Université de Vigo en collaboration avec edX. Ce programme minutieusement conçu vise à transmettre une compréhension profonde des principes fondamentaux et des méthodologies de l'apprentissage automatique. Les participants exp.
University of Vigo via edX

University of Vigo

3 Cours


L'Université de Vigo est un établissement public d'enseignement supérieur situé en Galice, Espagne. Elle propose des programmes de premier cycle et de postgraduate dans un éventail de domaines ainsi que des opportunités de recherche. Elle est réputée pour son approche centrée sur l'étudiant et son engagement envers l'innovation.

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Aperçu

Delve into the world of artificial intelligence with the "Basics of Machine Learning" course offered by the University of Vigo in collaboration with edX. This meticulously designed curriculum is aimed at imparting a profound understanding of machine learning's core principles and methodologies.

Participants will explore vital topics including probability density estimation, linear regression, and various classification techniques such as linear discriminants, logistic regression, and support vector machines. The course further delves into ensemble methods like bagging and boosting, and provides an introductory glance at the complexities of deep neural networks.

Students will establish a robust foundation in machine learning through practical exercises that consolidate the knowledge of the discussed techniques and offer rich, hands-on experience.

By the culmination of this course, learners will possess the necessary competence to apply machine learning tools and strategies in their projects, paving their way towards advanced study or career advancement in this fast-paced domain.

Categories covered in this course include Machine Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning, and Linear Regression, making it a comprehensive launching pad for anyone looking to venture into the field of machine learning.


Enseigné par

Prof. Dr. Bastian Leibe


Matières