Workshop
What are workshops?
Workshops provide students the opportunity to pursue research topics in a practical manner. They will be led by either another student with knowledge in that field or a professional.
Machine learning:
Requirements: Working knowledge in Python, Bring a computer with Python3.6 or above capabilities
The machine learning workshop series will explore the fundamental learning algorithms and practices in the field of artificial intelligence. The workshops will focus on developing practical real world applications such as stock prediction programs and cancer diagnosis programs. Data preprocessing, dimensionality reduction, and feature engineering will be backend materials that will also be covered, but will not be the focus of the workshops. The algorithms that will be explored include regression, classification, support vector machines, clustering, naive bayes, decision trees. Deep learning will also be covered, looking into neural networks starting from multilayer perceptron model and Restricted Boltzmann Machine to generative adversarial neural networks and deep belief networks.
Code for Regression and Classification
PowerPoint for Regression and Classification
