Subjects
Master in Deep Learning
Deep Learning
Deep Learning
Fundamental concepts of deep neural networks. The most important tools will be used and practical solutions will be implemented.
Computer Vision
Computer Vision
A journey from basic processing filters to pattern recognition techniques using convolutional neural networks.
Natural Language Processing
Natural Language Processing
Fundamental concepts of the mechanisms used for human-machine communication by means of natural language.
Entrepreneurship II
Entrepreneurship II
Global perspective of the process of creation, financing and possible success of a startup. Tools for entrepreneurship projects.
Machine Learning II
Machine Learning II
Unsupervised learning. Clustering methods, principal component selection.
Reinforcement Learning
Reinforcement Learning
Know the ways of calculating averages and moving averages, Markov decision processes, dynamic programming, approximation methods, etc.
Machine Learning III
Machine Learning III
Advanced Machine Learning Techniques. Review of the latest developments and the future of Machine Learning.
Kaggle Challenge
Kaggle Challenge
You will choose and develop a challenge to measure yourself against the best professionals in the world to evaluate what you have learned.
Final Project
Final Project
Development of a final project to put into practice with a real case the knowledge acquired during the Master.
Subjects
Master in Deep Learning
Deep Learning
Deep Learning
Fundamental concepts of deep neural networks. The most important tools will be used and practical solutions will be implemented.
Computer Vision
Computer Vision
A journey from basic processing filters to pattern recognition techniques using convolutional neural networks.
Natural Language Processing
Natural Language Processing
Fundamental concepts of the mechanisms used for human-machine communication by means of natural language.
Entrepreneurship II
Entrepreneurship II
Global perspective of the process of creation, financing and possible success of a startup. Tools for entrepreneurship projects.
Machine Learning II
Machine Learning II
Unsupervised learning. Clustering methods, principal component selection.
Reinforcement Learning
Reinforcement Learning
Know the ways of calculating averages and moving averages, Markov decision processes, dynamic programming, approximation methods, etc.
Machine Learning III
Machine Learning III
Advanced Machine Learning Techniques. Review of the latest developments and the future of Machine Learning.
Kaggle Challenge
Kaggle Challenge
You will choose and develop a challenge to measure yourself against the best professionals in the world to evaluate what you have learned.
Final Project
Final Project
Development of a final project to put into practice with a real case the knowledge acquired during the Master.
The tools that
you will master
you will master
The tools that
you will master
you will master
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Alberto Rodriguez
Presidente
Fabiola Pérez
CEO
Jesús Gómez
Artificial Intelligence Analyst
Andrés Haddad
CEO
Oscar Picazo
IT Specialist - Freelance
Crisanto De Los Santos
CEO
David Gordo
Co-Founder
See all
Learn with professors from
leading companies
leading companies
Learn with professors from
leading companies
leading companies
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Alberto Rodriguez
Presidente
Fabiola Pérez
CEO
Jesús Gómez
Artificial Intelligence Analyst
Andrés Haddad
CEO
Oscar Picazo
IT Specialist - Freelance
Crisanto De Los Santos
CEO
David Gordo
Co-Founder
Ruben Zazo
Research Team Leader
Next
Edition
Edition
Start date
March
2024
2024
Schedule
Tuesdays
18:30 - 22:30
Thursdays
18:30 - 22:30
18:30 - 22:30
Thursdays
18:30 - 22:30
Duration
5 months
200 hours
200 hours
Seats
25 people
