The objective of this talk is to throw some light on how machine learning systems can be tested using the software engineering principles. Though machine learning systems are completely different from traditional software systems, we can still leverage all the design and testing paradigms from software engineering and apply it to any machine learning system.

In this talk, we will look at how ML systems are different from the traditional software systems, what are the principles of testing a traditional software system and how it can be applied to a machine learning system.