We’re talking about practice. We’re talking about practice. We ain’t talking about the game.
There is a growing wave of articles, videos, courses, and degrees in AI and machine learning (ML). What isn’t covered as much is the toolchain. What are the fundamental skills needed to be a data scientist creating production machine learning? What are the fundamental processes a company must establish to develop reliable automated systems that can make predictions?
The toolchain needed to be successful in data science has exploded in complexity in some areas and shrunk in others. Jupyter Notebook is one of the innovations that has shrunk the complexity of developing solutions, as have cloud computing and SaaS build ...