Classifying cell structures and recognizing similar regions in tissue samples.
In this paper a mathematical model to capture and distinguish the latent structure in the articulation of questions is presented.
Many startups wish to incorporate Machine Learning (ML) algorithms in their products. But they do not have large data specific to their business. Our research to tackle this dichotomy shows that one must roll out ML solutions incrementally.
In this research report, we highlight a problem formulation involving multiple sensors that collectively determine "characteristics" of targets in an environment. We show how the formulation can be solved with Lagrangian relaxation.
You can’t fit categorical variables into a regression equation in their raw form in most of the ML Libraries. If it is not included in the modeling, then you do not get an accurate model. It’s crucial to learn the methods of dealing with such variables.
Using Analytics for multi parameter investment worthiness of properties and neighborhoods