Given your background as a backend software engineer and the requirements of your AI master's program, it's essential to build a strong foundation in machine learning (ML) and progress towards understanding and utilizing Large Language Models (LLMs). Below is a roadmap with resource recommendations:
Data Cleaning:
- Understanding Data Cleaning: Data Cleaning in Python: Advanced Techniques
- Handling Missing Data: Handling Missing Data with Pandas
- Outlier Detection: Detecting and Handling Outliers
Feature Selection: