TalkQA Track
Testing a data science model
- When
- Length
- 25 minutes
- Track
- QA Track
- Edition
- 11th ISTA Conference
- Where
- Annual conference / VIRTUAL
- Times shown in
- Europe/Sofia
About this session
I would like to share my knowledge about testing a model in a data science team. I appreciate this is a new area for testers to be in, but it has been a great experience to learn from.
Giveaways: I’d like to share how I explored the world of data science as a tester when testing a model and how we can apply that if we find ourselves in this situation. As part of an emerging team, how I contributed value in a field I have never tested.
I have heard from other senior testers that they know of data science teams but no testers testing the models, how do we have enough confidence what is produced is good enough? A model is a statistical black box, how to test it so we understand its behaviours to test is properly. Main aim would be to help inspire testers to explore data science models.
I’d like to invite you to my talk where, we will go through my journey of discovering data science model testing and find the following takeaways useful not just for testing a data science model but day to day testing too.
Published by the speaker for ISTA 2021, reproduced verbatim.
Speaker
Archive
ISTA 2021 in the archive
18 sessions were published for this edition, each with its own page, its speakers and the times as the programme printed them.
