SJSU CS 156 - Intro to Artificial Intelligence
All coursework, including homework and final term project, which includes the exploration of the following topics:
- Data
- Worked with numeric, categorical, and image data
- Data preprocessing, rescaling, and normalization
- Training-validation-test split
- Types of ML Tasks
- Classification
- Regression
- Dimensionality Reduction (PCA)
- Reinforcement learning
- Model Application
- K-nearest neighbors
- Linear and logistic regression
- Support vector machines (SVMs)
- Decision trees
- Single layer perceptrons
- ANNs
- Multi layer perceptrons
- Convolutional neural networks (CNNs)
- Autoencoders
- Generative adversarial networks (GANs)