This module introduces fundamental AI concepts with a focus on probabilistic inference, unsupervised learning, and neural networks. It combines theoretical insights with practical understanding relevant to data science and research.
Key Topics
- Basics of Bayesian Inference
- Unsupervised Learning and Dimensionality Reduction
- Neural Networks
Learning Outcomes
- Understand and apply Bayesian inference concepts
- Perform unsupervised learning and dimensionality reduction
- Explain neural network fundamentals and learning dynamics
