Data analysis, machine learning and advanced deep learning
Goals
The main objectives of the module are:
- Know the paradigms of Machine Learning and Artificial Intelligence algorithms
- Delve into advanced time series techniques
- Learn and apply methods to interpret Artificial Intelligence models
Program
This module belongs to the Advanced training program of Aragón EDIH.
1. Machile learning and artificial intelligence algorithms (4 hours)
1.1. Supervised learning
1.2. Unsupervised learning
1.3. Practical exercises with Python
2. Advanced techniques for time series (4 hours)
2.1. Prediction
2.2. Clustering
2.3. Anomaly detection
2.4. Examples
3. Explainability and interpretability of artificial intelligence models (4 hours)
3.1. Global explainability techniques
3.2. Local explainability techniques
3.3. Examples
Who is this course aimed at?
This course is designed for people who are passionate about the field of Artificial Intelligence and who want to acquire solid knowledge in the area of deep learning, and who have basic knowledge of Machine Learning or statistics for data processing, and knowledge of the Python programming language.
Requirements:
- Knowledge of Machine Learning or statistics for data processing
- Knowledge of the Python programming language
- Laptop (recommended)
Modality
Face to face
Faculty
- Rocío Aznar – Big Data and Cognitive Systems Team of the Technological Institute of Aragón.
- Ricardo Salillas – Big Data and Cognitive Systems Team of the Technological Institute of Aragon.
Time, date and place
- Total duration: 12h
- Dates: November 18, 19 and 25, 2024
- Hours: 4 to 8 p.m.
- Place: Technological Institute of Aragon. C/ María de Luna, 7 (white building), 50018 Zaragoza
- Maximum number of attendees: 15 people
