From 04121c1861a1e6055e269da099e9283c0ce9b2fb Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 16 Dec 2020 21:27:38 +0100 Subject: [PATCH] Update README.md --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4ab1da235..92d552beb 100644 --- a/README.md +++ b/README.md @@ -181,8 +181,11 @@ Here we list several useful Python libraries we strongly recommend (if you use a ## Textbooks _Recommended textbooks_: -- Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer, https://www.springer.com/gp/book/9780387848570 -- Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly, https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/ +- Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, https://www.springer.com/gp/book/9780387310732. This is the main textbook and this course covers chapters 1-7, 11 and 12. +- Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer, https://www.springer.com/gp/book/9780387848570. This is a well-known text and serves as additional text. +- Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly, https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/. This text is very useful since it contains many code examples. + +The books by Bishop and Hastie et al. can be downloaded for free if you access the university library via an IP number of your home university.