Bayes’ Theorem, the thing we learned in our statistics class and always wondered why are we studying, is super-crucial in ads engineering.
To model and represent complex relationships between variables and make predictions to forecast ad impressions, Bayesian Networks are quite popular. Some super interesting things that leverage them are
- ctr prediction
- audience targeting
- conversion path analysis
- ad inventory management and optimization
I spent ~9 hours yesterday understanding and I must say, it just blew my mind on how easily we can model complex things with this one super simple theorem that we learned as kids.
If you have some time, dig deeper into the math, do not shy away. It is not difficult if you can make an honest attempt.
To be honest, our colleges and school curriculum should have taken this example while teaching us Bayes’ theorem. It seems so practical and close to the real world.
I am continuing to explore the domain of ads engineering in the last 14 days of 2024, and it is more fun than I expected.
Ending 2024 on a high!