What is ML-Ops? Why is it important?

What is ML-Ops? Why is it important?

Businesses around the globe use machine learning to predict their sales, profits, costs, performance, and use these predictions to build actionable insights. These insights help decision-makers to take the right decision according to the current situation after...

Data Science Process: From Business to Delivery

The Data Science Process   Data science projects start with business needs and go through data analysis, model development, deployment to production, quality assurance, and after-deployment support. The image below illustrates the key steps and actions...