Testing ML models for production

In this webinar, with Shivika K Bisen, Lead Data Scientist at PAXAFE, we see that machine learning models are an integral part of our lives and are now becoming indispensable for decision-making process in many businesses. When ML algorithms make a mistake, it can not only adversely affect the user trust but can also cause loss of businesses and in some sectors – loss of life (health).

How do you know that the model you’ve been developing is reliable enough to be deployed in the real world? In this talk, we are going to have a closer look at the Testing ML model for production. Main components of the talk are:

• Unit testing
• API Integration testing
• Simulation testing for ML model