Bayesian Network | Introduction and Workshop

Bayesian Network is a model that allows for probabilities of all events to be connected to each other and we could easily make decisions on the finally possible probabilities of something going to happen based on the information we already had. It been a very popular model for the last few decade due to its transparency in the nodes connectivity.
In this video I try to go through the basic of BN, how to make them in R and how have other research have been using them for the last few years.
Slides
docs.google.com/presentation/...
Github Page
github.com/brandonyph/LiquidB...
Email: [e-mail]
Website: www.liquidbrain.org/videos
Patreon: / liquidbrain

[@mfundozwane]

Thank you for this video. It was very succinct, and possibly demystified what I thought would be a complex model in an industrial application. I absolutely found the examples useful and insightful, and have inspired a new interest Bayesian networks as an alternative to black box models. Kudos!

[@hafsarauf9451]

I have been trying to apply Bayes networking on diabetic retinopathy and you helped me alot.😊

[@SathishKumar-qg5uk]

Explained thoroughly and clearly! Could you recommend any platforms or sources for an interactive application on this topic?

[@ariz8538]

commenting also to get notified if someone suggests some kind of gooey!

[@hafsarauf9451]

Thank you so much Sir

[@abrahamcisnerosvalladolid7948]

ty so much

[@adams8847]

Interesting

[@russeljohng.delfin3371]

Can bayesian networks be used in water quality modeling? can you give me some ways to do it?

[@marcelofalchetti]

0.69 (nice) kkkkkkk loving your videos