Learn python and then a few frameworks around it. Airflow for pipelines, Pandas/Dask/Vaex/Modin[ray]/PySpark for feature engineering, and then get familiar with ML libraries like tensorflow and scipy. For everything you learn, make a quick document in something like Hugo as a cheat sheet. Keep learning and documenting and you’ll be a pretty good ML engineer in no time. And if you want an easy foray into modeling, maybe start with linear regression and move onto weak ensemble like xgboost.
Ib173 t1_j7khqx9 wrote
Reply to [D] Python vs Swift vs Julia, what should I learn? (Any benchmarks?) by lukinhasb
Learn python and then a few frameworks around it. Airflow for pipelines, Pandas/Dask/Vaex/Modin[ray]/PySpark for feature engineering, and then get familiar with ML libraries like tensorflow and scipy. For everything you learn, make a quick document in something like Hugo as a cheat sheet. Keep learning and documenting and you’ll be a pretty good ML engineer in no time. And if you want an easy foray into modeling, maybe start with linear regression and move onto weak ensemble like xgboost.