12
$\begingroup$

Are there any videos or other books/notes that anyone has come across that follow Pattern Recognition and Machine Learning by Chris Bishop? I bought this book to learn Machine Learning and am having some trouble getting through it.

$\endgroup$
  • 3
    $\begingroup$ Look for existing threads tagged with the references tag. $\endgroup$ – Richard Hardy Sep 6 '16 at 17:48
  • 2
    $\begingroup$ FWIW, I think the question is as on-topic as any other reference request. I actually think it's more specific than most because this question specifically asks for materials following a textbook, rather than just machine learning in general. $\endgroup$ – Sycorax Sep 6 '16 at 21:28
11
$\begingroup$

Bishop is a great book. I hope these suggestions help with your study:

  • The author himself has posted some slides for Chapters 1, 2, 3 & 8, as well as many solutions.
  • A reading group at INRIA have posted their own slides covering every chapter.
  • João Pedro Neto has posted some notes and workings in R here. (Scroll down to where it says "Bishop's Pattern Recognition and ML")
  • Many introductory machine learning courses use Bishop as their textbook. Googling gives a few different ones; have a look and see which topics and focus you prefer.
$\endgroup$
4
$\begingroup$

I would recommend these resources to you:

  1. Tom Mitchell: Carnegie Mellon University
  2. (Only for Supervised Learning and follows Bishop) Pattern Recognition: Indian Institute of Science (I personally like this course as I have attended it, but this course requires you to know probability theory.)

Both the courses are maths oriented, for a lighter course on machine learning would be "Machine Learning" by Udacity

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.