EPISODE · Aug 4, 2017 · 9 MIN
Generative Models - The Math of Intelligence #8
from Siraj Raval
Generative Models are insanely cool! They help create never before seen data. We'll go over the mathematical difference between discriminative and generative models, talk about a few types, then dive into a basic one called Latent Dirichlet Allocation to generate a set of topics for some news articles. Code for this video: https://github.com/llSourcell/Latent_Dirichlet_Allocation Hammad's Winning Code: https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Bayesian%20Linear%20Regression Noah's Runner up code: https://github.com/NoahLidell/math-of-intelligence/tree/master/hyperparameter_optimization Carykh's channel: https://www.youtube.com/user/carykh More learning resources: https://www.youtube.com/watch?v=qCA1Dk_Ih_c&t=383s http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/ http://ai.stanford.edu/~ang/papers/jair03-lda.pdf https://rstudio-pubs-static.s3.amazonaws.com/79360_850b2a69980c4488b1db95987a24867a.html https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation https://blog.bigml.com/2016/11/16/introduction-to-topic-models/ https://www.analyticsvidhya.com/blog/2016/08/beginners-guide-to-topic-modeling-in-python/ https://github.com/blei-lab/onlineldavb Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
What this episode covers
Generative Models are insanely cool! They help create never before seen data. We'll go over the mathematical difference between discriminative and generative models, talk about a few types, then dive into a basic one called Latent Dirichlet Allocation to generate a set of topics for some news articles. Code for this video: https://github.com/llSourcell/Latent_Dirichlet_Allocation Hammad's Winning Code: https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Bayesian%20Linear%20Regression Noah's Runner up code: https://github.com/NoahLidell/math-of-intelligence/tree/master/hyperparameter_optimization Carykh's channel: https://www.youtube.com/user/carykh More learning resources: https://www.youtube.com/watch?v=qCA1Dk_Ih_c&t=383s http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/ http://ai.stanford.edu/~ang/papers/jair03-lda.pdf https://rstudio-pubs-static.s3.amazonaws.com/79360_850b2a69980c4488b1db95987a24867a.html https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation https://blog.bigml.com/2016/11/16/introduction-to-topic-models/ https://www.analyticsvidhya.com/blog/2016/08/beginners-guide-to-topic-modeling-in-python/ https://github.com/blei-lab/onlineldavb Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
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Generative Models - The Math of Intelligence #8
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