Virtual Environments Explained
Mikiko shares her journey transitioning from data science to ML engineering, emphasizing the importance of understanding the "why" behind tools like Docker and virtual environments. She illustrates how virtual environments act as project folders that help manage dependencies without affecting the core system, while also touching on the advantages of using virtual machines for greater abstraction and control.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 599: MLOps: Machine Learning Operations — with @Miki_ML
Related Questions