Study Guide

Learning objectives

After completing the course, the student will be able to
- understand the terms Artificial Intelligence, related fields, and the philosophy of AI
- learn the societal applications of AI and how it could predict the future
- become familiar with basic statistics and probability used in AI
- solve simple machine learning and deep learning AI problems
- utilize basic AI algorithms in IoT optimization problems

Content

- Statistics and Probability know-how, especially Bayes Rule and Regression
- Fundamental concepts on Neural Networks, Machine Learning, and Deep Learning
- Study of Datasets
- Classification Methods- Nearest Neighbor classification, Decision trees, Discriminant Analysis, Support vector machine
- Predictive models and finding their accuracies and improvement