Fueled by data, ML models find patterns and make predictions faster as compared to humans. Victor Thu, President, of Datatron talks about the best practices for ML deployment.
Machine learning projects can't be approached in the same way as traditional software projects. Speed is of the essence - you need to be able to try things out, fix them and try them again. In other words, you've got to be able to fail fast and early.