Learning from Data
Description: This lecture explores the idea of learning from data. We explore the induction process that agents follow to go from a specific set of observations to general rules. This process enables the agents to make predictions about the future based on past experiences. We introduce the main concepts around this idea and show its application to regression and classification problems.Department: Centro de Estudios y Asesorías en Estadística (CEASE)
Institution: Universidad de Nariño
Date: June 14, 2025
Hours: 4
From: 10:00 am
To: 12:00 am
Resources
Books
- Russell, S. and Norvig, P. (2010). Artificial Intelligence: A Modern Approach 3rd ed - Chapter 19 . Prentice Hall
- Bishop, C. (2009). Pattern Recognition and Machine Learning - Chapter 3. Springer
- Deisenroth M. P. et. al. (2020). Mathematics for Machine Learning - Chapter 9
Web
- SciPy Statistical Significance Tests
- Statistical Tests Cheat Sheet
- The Discovery of Statistical Regression
- Linear Regression in Machine learning
- The Ascent of Gradient Descent