Getting and cleaning data
Most of the work is getting the data right Newcomers imagine ML is mostly choosing clever algorithms. In reality, teams spend the majority of their time finding, joining, and cleaning data. A modest model on clean, honest data beats a sophisticated model on a mess almost every time. Where data comes from Your raw material […]
Practical ML: From Idea to Model
Turn a fuzzy business goal into a concrete ML task, prepare honest data, beat a baseline, and ship a model you can monitor and trust.