2020-10-11

Things I’d prioritize learning if I was to study to become a ML engineer again:

1. Version control
2. SQL + NoSQL
3. Python
4. Pandas/Dask
5. Data structures
6. Prob & stats
7. ML algos
8. Parallel computing
9. REST API
10. Kubernetes + Airflow
11. Unit/integration tests