ESCUELA DE DOCTORADO
Actividades formativas de doctorado
 
RI003Machine Learning with Applications
Organiza: Alfredo Gardel Vicente.

Inscripción en: https://gestion-doctorado.uah.es/doccursos
(en este momento no hay plazo abierto para preinscripción en este curso)

Coordinación:
D. JESÚS UREÑA UREÑA
Plazas ofertadas: 24
Duración: 10 horas     Tipo: Rama de conocimiento
Modalidad: Presencial

Lugar de impartición: Oeste Lab OL5 - Edificio Politécnico


Fechas de impartición
6 y 7 de febrero de 2023 (15:30-18:30)


Descripción general

The lectures will introduce interested PhD students to the advanced machine learning topics as deep learning with applications.

Place: Oeste Lab OL5 - Edificio Politécnico

https://www.google.com/maps/dir//40.512869,-3.348754



Objetivos

1. Machine Learning - starting pack

-     Machine Learning concepts : Learning paradigms (supervised, unsupervised, self-supervised), Foundations concepts (training, testing and validation), Learning objectives( generalisation Vs. overfitting/underfitting, Loss Function)

-     Types of Machine Learning (Classification Vs. Clustering, regression linear/logistic, Neural networks, Other algorithms)

 

2. Deep Learning algorithms and techniques (Introduction to deep learning, CNN, AE vs. PCA ,VAE, GAN, Reinforcement Learning)

 

3. Focusing on Applications (Examples of DL applied to Computer vision for surveillance, healthcare, cultural heritage, etc.)



Profesorado

The course will be taught by researchers from University of Udine (Itally), Dr. Matteo Dunnhofer a Giner de los Rios visiting fellow and Prof. Dr. Christian Micheloni, together with Prof. Alfredo Gardel (UAH) (alfredo.gardel@uah.es)



Metodología

On-site in a laboratory: Electronics dpt. at the Polytechnic School (UAH).

 

Additional studying material will be provided to participants.

 



Sistema de evaluación

Course participation and activities follow-up. Final quizz assessment.