Whenever a measurement is made there is some uncertainty in that measurement. If you count votes in a survey, measure the mass of ingredients in a recipe, or your shoe size there is always some uncertainty in the number you get. This fact has ramifications for data science in project scoping, data labelling, model development and MLOps. We are going to be discussing how this uncertainty can be quantified, what it means for your models and how you can use that to design your projects.
Accelerate Financial Forecasting with Vibe Coding & Posit Connect
Accurate forecasting is the backbone of sound financial planning, risk management, and strategic decision-making. In this webinar, we’ll introduce Vibe Coding—a collaborative, rapid-development methodology that
