Did you know that one can predict who criminals are, based on data of other known criminals?
Using Machine and Deep learning, it’s possible to create a family of models that predicts who criminal suspects are based on a tremendous amount of collected data.
Implementing the MLOps cycle of taking machine learning models to production and then maintaining and monitoring them is a huge challenge in mega-sized solutions.
In this talk, we will review the kinds of machine learning models that can be combined to predict threats and identify suspects and how models like these can be combined in the MLOps flow
|Sela Technology Practice 28/12/22|