Well I indeed expected more than a few basic definitions for sure.
For instance I was expecting a few case studies where a blind application of sklearn defaults led to issues fixed with proper probabilistic thinking.
I remain unconvinced about the importance of probabilities for data science, even more so when I doubt 1% of practicing data scientists could explain what a measure is.
For instance I was expecting a few case studies where a blind application of sklearn defaults led to issues fixed with proper probabilistic thinking.
I remain unconvinced about the importance of probabilities for data science, even more so when I doubt 1% of practicing data scientists could explain what a measure is.