AAI 201 - Machine Learning

1. Explain Deep Learning, a subset of the wider field of Machine Learning
2. Analyze the basic tools required for building Machine Learning projects
   1. Summarize key topics from Mathematics used for projects
   2. Demonstrate the ability to use Python programming in Machine Learning projects
   3. Compare different methods like Supervised Learning, Unsupervised Learning, and Deep Neural Networks
3. Create a simple dashboard for visualizing data using current data visualization software (such as Tableau)
4. Compare different models available in Supervised Learning, Unsupervised Learning, and Reinforcement Learning
5. Describe common terms and concepts used in the different steps of the artificial intelligence (AI) Project Cycle, such as Accuracy, Precision, Recall, F1 Score, Underfitting, and Overfitting
6. Discuss Neural Networks