Learning Bayesian Statistics cover image

#68 Probabilistic Machine Learning & Generative Models, with Kevin Murphy

Learning Bayesian Statistics

CHAPTER

The Difference Between Basy and Deep Learning in Machine Learning

The basian starts wit sort of interpretable models. You can stick neuronets into any link in this graphical moldera. The alternative is to say, you have a classical model thati so that's what i would call, i want to distinguish basy and deep learning from deep basy and learning. And then the generative moral is itself and your network, right? So it's got both things, but they're actually orthogonal ideas. And you can mix a matc, interestingk ye, lie skis the limit? Because yer indeed that that point is important.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner