Have you ever wondered which type of math or project has generated the most value for your company? I’m curious to know about your experiences with high ROI math projects. For instance, I used Bayesian inference to determine the best insurance policy for my company, which ended up being a high ROI project.
Machine learning, on the other hand, seems to promise a lot but often delivers little in terms of tangible results. However, causal inference is gaining traction and showing promising returns.
I’d love to hear about your experiences with data science projects that have generated significant value for your business. Was it a statistical model that helped you optimize resources, or perhaps a machine learning algorithm that improved customer engagement? Share your stories and let’s explore the world of high ROI math together.
By sharing our experiences, we can learn from each other and uncover new opportunities to drive business value with data science.