About Course
Welcome to Application of AI and Machine Learning into MH data course.
Course objectives
Course contents
- Machine Learning Models
- K-Nearest neighbors
- Clustering and classification
- Supervised learning
- Introduction to generative AI
- NLP
- Model prediction and validations
- Bagging and Boosting methods
- Regression trees
- SVM
Course Instructor(s)
Linda Maoyi & Amelia Taylor
Course objectives
Course contents
- Machine Learning Models
- K-Nearest neighbors
- Clustering and classification
- Supervised learning
- Introduction to generative AI
- NLP
- Model prediction and validations
- Bagging and Boosting methods
- Regression trees
- SVM
Course Instructor(s)
Linda Maoyi & Amelia Taylor