I tried to implement all my learnings over the last couple of years across several projects and work initiatives. I had a great experience interacting with students across an electic demographic ranging from college freshman to industry professional from fortune-500 companies.
Some critical aspects I tried to focus on:
- Laying emphasis on building the underlying mathematical logic by implementing all machine learning algorithms from scratch.
- Exploring the tricks of Data Engineering, processing and augmentation, which I feel are very critical skills in trying to take a project to production.
- Discussing the ideas behind state-of-art approaches for various tasks and encouraging students to read literature
References to Code: