Chip Huyen
Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering.
Chip Huyen did not write this page.
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· held 11 months
Believed beforesaid
Their words thenThings 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
Nowsaid
Our readingNo longer believes this.
Their wordsInfrastructure requires a very different set of skills from data science. In theory, you can learn both sets of skills. In practice, the more time you spend on one means the less time you spend on another.
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