Welcome to the Artificial Intelligence course at UNCuyo! This course offers a comprehensive introduction to key AI concepts, including both foundational techniques and cutting-edge deep learning methods. Throughout the course, we will explore the following topics:
- Linear Regression
- Logistic Regression
- Model Regularization: Ridge Regression, Lasso
- Deep Learning: Neural Networks
- Deep Learning for Image Processing: Convolutional Neural Networks (CNNs)
- Deep Learning for Time Series: LSTM Networks
- Deep Learning for Text: Introduction to Natural Language Processing (NLP) and Large Language Models (LLMs)
To support your learning, we recommend the following books:
- An Introduction to Statistical Learning with Applications in R by Gareth et al., Second Edition. Learn more.
- Deep Learning with Python by François Chollet, Second Edition. Learn more.
Enhance your practical understanding with hands-on exercises. The laboratory notebooks from the ISLP book are available here.
For additional resources, you can also access the online course An Introduction to Statistical Learning, with Applications in Python offered by Stanford University. It is available on StanfordOnline: Statistical Learning with Python.