Why Choose PyTorch Over TensorFlow or Scikit-learn?

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host ‪@JonKrohnLearns‬ asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.
Watch the full interview “819: PyTorch: From Zero to Hero - with Luka Anicin” here: www.superdatas...

[@landryplacid4065]

Sklearn is a basic library. Tensorflow and pytorch are the used for deep and reinforcement learning.

[@MartyAckerman310]

One great thing about scikit is the infrastructure around data pipelines and transformations. You can use the skorch library to wrap your PyTorch model so that it works in a scikit pipeline.