Machine learning - Random forests

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Random forests, aka decision forests, and ensemble methods.
Course taught in 2013 at UBC by Nando de Freitas

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I simply love all explanatory video's of Nando de Freitas; clear and effective. Straight to the point

lwoltersyt

Excellent video. Professors like him are the reason learning is fun. They throw exciting ideas at you as if they were no thing.

siddarthjay

Very good classroom video which is very simple, interesting and clearly explained.

drbhojrajghimire

Incredibly helpful! Thank you for posting.

meganmaloney

Excellent ! Really easy to understand thanks for sharing !

dinofranceschelli

The ressource that helped me the most in least amount of time. Thanks for sharing.

ApiolJoe

Thanks for posting these great lectures to be publicly available. I hope the remaining lecture videos get posted soon!

comadano

This is so great clear and easy to understand!!! Thank you so much!!!

kellyli

Excellent professor, thanks for sharing your Knowledge with us.

LuisFelipeZeni

Very good lecture, but I would suggest watching in *1.5 speed.

kaleeswaranm

Tks Nando ... This lecture is really good and useful !

alefranc

Very good introduction to Random Forest. Thank you!

antonosipov

Wow this is amazing. Such a clear and informative lecture.

GoBlue

how to compute the info gain? what is the relation of it with the entropy and mutual information ?

tonyperez

I'm not sure I understand your question; with only one node (which would have to be the "parent" node, by definition), the tree wouldn't have any "children" nodes into which to sort the data based on the criterion in the parent node. The tree wouldn't do anything at all... Perhaps you are asking a different question?

fangliren

Thank You sir excellent lecture please share other videos like you said Bayesian optimization lecture please share that lecture also.

sameenatasneemshaikh

I looked up the ressource (Criminisi) and I wonder:
Is there an R package or a Python package where this specific algorithm is implemented. There are many R packages and I know there is sci-kit learn in Python. However, I want to make sure I use the more general model as outlied by Criminisi.

satterhenne

Around 1:08:25, the professor talks about Bayesian optimization using a GP prior or something. What I'm not clear on is what is the prior on ?

helenlundeberg

Thank you! It's really nice and easy to understand!

EmreOzanAlkan

Do random forests need classification trees with more than 1 node to be effective?

hyperzoanoid

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