Course Code:
aibspk
Duration:
3 hours
Course Outline:
1. Introduction to AI
2. The Math behind AI
○ Classification
○ Regression
○ Optimization
○ Predictive modeling
3. AI System Architecture
○ Components of Machine Learning Model
- Classifiers
- Regressors
- Optimizers
- Simulators
- Policy Learners
- Segmenters
○ NLP
○ Vision
4. Working with Data
○ Data requirements
○ How to overcome common implementation hurdles?
5. Accuracy
○ Underfitting
○ Overfitting
○ Evaluation metrics
6. Hands on Lab
○ Use scikit-learn to solve machine learning classification and regression
problems