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Pattern Recognition and Machine Learning (Information Science and Statistics)
by

Christopher M. Bishop

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Alexis is on page 230 of 738

— Sep 03, 2016 06:20AM Add a comment

Hoangnt is on page 256 of 738

— Aug 28, 2016 05:06PM Add a comment

Evan is starting

Textbook for information theory and machine learning courses.

— Aug 26, 2016 09:05AM Add a comment

Jack is starting

— Aug 14, 2016 10:09AM Add a comment

Jack is starting

— Aug 14, 2016 10:09AM Add a comment

Xinyu Tan is on page 241 of 738

— Aug 06, 2016 05:57PM Add a comment

Xinyu Tan is on page 181 of 738

— Jul 19, 2016 10:19AM Add a comment

Xinyu Tan is on page 161 of 738

— Jul 16, 2016 10:59AM Add a comment

Alexis is on page 127 of 738

Not gonna lie , I gave up on chapter 2 and just read the slides here instead http://lear.inrialpes.fr/~jegou/bisho... which has the cliff notes and useful graphs from the textbook. Good overview of parametric vs nonparameteric methods for density estimation. Intro to common probability distribution functions. My favorite concepts are Gaussian mixture models and Kernal density estimators.

— Jul 15, 2016 04:30AM Add a comment

Alexis is on page 78 of 738

2.3 is dense! I'm not sure if I want to study the entire derivation of Gaussian distribution. The first 8 minutes of this video on Gaussian distribution seems to cover the important properties https://www.youtube.com/watch?v=50Vgw... Will attempt to read it after 2.4

— Jul 09, 2016 05:25AM Add a comment