Description

The aim of this project is to gain a broad understanding of ML/DL concepts and tools. By the end, you should be able to understand both the theory behind these concepts as well as how they are applied in a practical context.

Goals

• Learn how to train models
• Learn how to deploy models (ideally in Kubernetes)
• Learn about the current "tools of the trade"

Resources

Google's ML crash course

The following resources are useful for diving into different topics in a more structured way:

• Understanding DL

• ML specialization

• DL specialization

• Practical deep learning

• Hugging Face LLM course