Testing in Machine learning is way too different from the way we test software traditionally(functional tests regression tests etc.) where we check for actual vs expected behavior of any given application. In the ML world data sets with desired behavior are used to train the model(learn the logic) and we need to check if the trained model consistently provides us with the expected output.
Lately, we’ve heard about Machine Learning everywhere, in every sector, a fitness tracker applications, an intelligent home assistant like Google Home/Amazon Alexa, what about an application recommending new stuff related to our behavior as a buyer, our streaming applications recommending music or movies based on our data. Let’s talk about basic concepts to understand better… Continue Reading →