How do you prepare a dataset for machine learning (ML)? How do you go beyond cleaning the data and move toward measuring how the model performs? In this episode, I return to the Real Python podcast to talk about strategies for better ML model …
Have you ever wondered whether a developer advocate role is for you? In this episode of the SuperDataScience podcast, I discuss with Jon my responsibilities and explain why you may or may not want to consider taking on this role. I also dive into the …
What’s the big breakthrough for Natural Language Processing (NLP) that has dramatically advanced machine learning into deep learning? What makes these transformer models unique, and what defines “attention?” In this episode of the Real Python …
How do you process and classify text documents in Python? What are the fundamental techniques and building blocks for Natural Language Processing (NLP)? In this Real Python episode I talk about how machine learning (ML) models understand text. I …
