The buzz around Deep Learning often misleads layman people to think that it is a newly invented technology but it comes as a shock for them when they are told that foundations of Deep Learning were laid down as long back as the 1940-1950s. There is a long history of deep learning where most of […]
Data science projects are like any other software project which needs regular maintenance, enhancements, and improvements over a period of time after the first production deployment. But when it comes to putting ML models in productions, companies are already struggling big time, leave alone the regular maintenance. As per one report, only 22% of the […]
Semi-supervised learning is a learning problem that involves a small number of labeled examples and a large number of unlabeled examples
The agile methodology provides data scientists the ability to prioritize models and data according to the goals and requirements of the project.