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
- Learn and apply methods to interpret Artificial Intelligence models
- Delve into advanced techniques for time series analysis
Program
This module belongs to the Advanced training program of Aragón EDIH.
1. Overview of the state of the art of Machine Learning and Artificial Intelligence algorithms (1 h)
- Supervised learning
- Unsupervised learning
- Reinforcement learning
2. Explainability and interpretability of Artificial Intelligence models (2.5 h)
- Global Explainability
- Local explainability
- Examples
3. Advanced techniques for time series (2.5 h)
- Prediction
- Clustering
- Anomaly detection
- 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
- Faculty
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: 6h
- Dates: October 24 and 25, 2023
- Hours: 4 to 7 p.m.
- Place: Technological Institute of Aragon. C/ María de Luna, 7 (white building), 50018 Zaragoza
- Maximum number of attendees: 15 people
