Artificial Intelligence | AIA-101
Introduction
The AIA-101 course is focused in four main modules: linear regressors and classifiers, logistic classifiers, artificial neural networks, and control applications. The course requires previous concepts of programming, control and microcontrollers. Also, is highly recommended to use a GNU/Linux or Unix distribution to follow closely several videos and tutorials; Ubuntu distribution is a good choice.
Module 1: Linear regressors and classifiers
This first module will introduce the basic concepts of linear regressors and classifiers with simple examples to relate the with error concept with instances. Also, some basic skills will be developed to define a GNU/Linux work-flow to work with Python, Java Script (JS), Visual Studio Code, and Jupyter Notebook.
- Lecture 1: Course Introduction
- Lecture 2: Artificial Intelligence Demystified
- Lecture 3: The Predicting Machine