Machine Learning 2022-I

Professor Isaac CAICEDO-CASTRO, University of Córdoba

Topics:

  • Introduction

  • Classification and Regression

  • Machine Learning: a probabilistic approach

  • Artificial Neural Networks

  • Clustering

Announcements:

  • Click here to join the monthly virtual lecture through Google Meet

  • Welcome to EP411113 (Machine Learning), 2022-I

  • If you're in the Sahagún group, you can submit the notebook, where you implemented the Perceptron with the sign function, which learn boolean functions by clicking here

  • If you're in the Sahagún group, you can submit the notebook, where you implemented the Perceptron with the sigmoid function, which learn to classify the handwritten digit seven by clicking here.

  • If you're in the Sahagún group, you can submit the notebook, where you implemented the Perceptron with the sigmoid function, which learn boolean functions by clicking here

  • If you're in the Montería group, you can submit the notebook, where you did your first steps here.

  • If you're in the Montería group, you can submit the notebook, where you implemented the perceptron with sign function for learning boolean operators by clicking here.

  • If you're in the Montería group, you can submit the third notebook, where you train a Perceptron, with Sigmoid function, for learning to classify the digit seven by clicking here.

  • You can download the Dataset for regression by clicking here

  • Watch the lecture given on May 10th: parts 1/2 and 2/2

  • You can check out your grades by clicking here 👈👨‍🏫🚚

  • If you're in the Sahagún group, you must submit the notebook where you classify handwritten digits by clicking here

  • If you're in the Montería group, you must submit at least three notebooks, click in the following links to submit them: 1th notebook, 2nd notebook, and 3rd notebook. The deadline is due 24th June.

Office hours

Fridays, 3:00PM - 5:00PM, Telecommunications and Systems Department bureau. You must request an appointment in advance by email, in the message you ought to describe your doubt in detail. If you don't live in Montería, I'll reply with Google Meet link. In the subject you must indicate the course name, your group, and the subject itself, otherwise I might ignore the message.

Evaluation

  • The course is split in three parts, in every one, each coursework weighs the same.

  • The coursework might be assignments, exams, or a project

  • In the project you might work alone or team up with another class mate, however, both members of the team must present evidences of their contributions.

  • Late coursework won't be accepted

Resources: