Machine learning - Decision trees

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Decision trees for classification.
Course taught in 2013 at UBC by Nando de Freitas

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Excellent! This is how a teacher should teach.

Technoslerphile

Tremendous Explanation! This is what even courses should focus on. Instead of just giving details on the surface and start importing packages and implementing for viewer's satisfaction, it is more fruitful to start from the scratch, dig the mathematics and intuition behind and appreciate the concept.

prajwalshenoy

Thank you very much for this and the following session's lecture. I got my CS degree 25 years ago, and it's nice to learn about things like how to automatically decide which questions to ask first.

michaelturniansky

Superb lecture..Thank you very much for sharing it..I was struggling with the subject before watching this video, but now am quite comfortable and i think ill be able to manage using decision trees in my project.. Thank you again :)

nitinat

It amazes me that people were discussing these topics when I was studying about the water-cycle lol.

newbie

I suppose this is how Arkinator guess who you are thinking of.

zxxNikoxxz

great lecture, I have a question, is there any session for building decision tree manually?

alhoqani

Best Lecture on Decision Tree.Which measure is the best - Entropy or Gini?

snehotoshbanerjee

"To understand what a forest is we first need to understand the tree" :D

TheHarperad

thank you very much..it really helped sir....and one thing I wanna tell that you have got a sweet voice.

SahibzadaIrfanUllahNaqshbandi

When I did the calculation for I(Patrons) at time roughly 46:36 for the number of bits of information, I get .541 (not .0541) as in his slide deck. Also, I had to find from a difference refernce that when you have a Log(0), which is normally undefined, they assume it is 0.

thungp

Nice lecture! I came here for Decision Trees but I think I'll have a look at your other videos as well

GatoNordico

Excellent! Can subsequent levels in the tree use the same attribute for the decision at a node? For instance in the 4 color, 2 dimension example, if the root level split is based on x-sub-i, can the next level node use a rule based on x-sub-i (obviously a different split)?

kevinsluder

Over 200kg? That's a whale! Awesome lecture by the way :)

ZestyCrunchy

Your Lectures are very explanatory; even as an undergrad I understood them. Thanks! I was wondering if you covered multivariate decision trees in any of your lectures.

oreoluwa

nice lecture.Thankyou very much sir..Can anybody share the referenced 'Criminisi et al, 2011' paper link?

sonilshrivastava

Does anyone know where is the data file available or we just type it in from the slide Prof has

rahulchandra

"If you go to the left, you are 100% red"

TheHarperad

Good lecture on decision tree. Can you please share Antonio Criminisi technical report link here.
Thank you.

mohammadkamruddin

Hey Ore! Did you find any lecture on multivariate decision trees?

SL

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