
Multi-disciplinary product managers, however, are well-equipped to tackle this very challenge. By having knowledge of the industry, processes, and business values, as well as an understanding of the breadth of machine learning approaches, a product manager can identify areas ripe for innovation. Individuals with experience in product management, software engineering, and data science provide a unique perspective allowing them to bridge the gap in applications of advanced technologies in industries where ML isn’t typically applied. By working collaboratively with domain experts across disciplines, product managers can reshape ma…
Question: The subset you are selecting, are they exclusive? Can there be overlaps? [52:27] We talked about picking 1/10 at random, but what scikit-learn does by default is for n rows, it picks out n rows with replacement — which is called bootstrapping. If memory serves correctly, on average, 63.2% of the rows will be represented and many of them will…