#PyTorch #PythonLibrary #DataScience 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. This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists/), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:02:12] About the PyTorch library • [00:24:09] Why PyTorch became so popular • [00:30:34] How to increase accuracy and efficiency in PyTorch • [00:34:30] How to utilize transfer learning • [00:40:01] Why real-world projects are essential to data scientists • [00:45:34] About Datablooz Additional materials: https://www.superdatascience.com/819