Exploring ML systems in industry and how they're implemented.
Thoughts and practices on putting ML into production.
Thoughts on what an effective data science process should look like.
Especially in the context of a career in tech and data.
Practices that worked well for me and general advice.
Interviews with practitioners and dissecting their careers.
Random philosophical ideas and thoughts.