It's good to recognize what AI is and what it is not. In this episode, George Brooks is joined by Michelle Frost to de-bunk myths & misconceptions about what AI can mean for processes in the workplace. Learn about the necessary steps to train a model, from collecting and preparing data to testing and evaluating the model. Plus, the importance of ML Ops and the impact of using third-party libraries and packages.
It's good to recognize what AI is and what it is not. In this episode, George Brooks is joined by Michelle Frost to de-bunk myths & misconceptions about what AI can mean for processes in the workplace. Learn about the necessary steps to train a model, from collecting and preparing data to testing and evaluating the model. Plus, the importance of ML Ops and the impact of using third-party libraries and packages.