Testing a data science model

Data is the new gold. Everyone is excited about Data Science and Machine Learning models. But, there isn’t much exposure to the world of Data Science as a Tester.

In this talk, we will go through my journey of discovering data science model testing and how I contributed value in a field I have never tested intending to help inspire testers to explore data science models.

Together we’ll understand the background of data science and how data plays a vital role in models? How to train a Data Science model keeping different personas in mind? How will we bring processes and strategies to make sure we capture the right output results and the consumers still benefit from this? In a nutshell, making sure the model’s quality is good and we have confidence in what we provide to consumers.

By the end of this talk, you will be able to explore testing models and how to make sure the quality of a model is providing the team enough confidence and helping a business.

Key takeaways

  • Understanding of Data Science.
  • How to test models?
  • Identify what existing skills we already have that we can apply in a data science team?