From 00b682648e6ef8c1b7826185c4cfd64989e19f90 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Thu, 12 Jul 2018 09:20:00 +0200 Subject: [PATCH] Update README.md --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 94d503745..f97b92151 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,5 @@ # FYS-STK3155/4155 Applied Data Analysis and Machine Learning, http://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/index-eng.html -[![Build Status](https://travis-ci.org/CompPhysics/MachineLearning.svg?branch=master)](https://travis-ci.org/CompPhysics/MachineLearning) This site contains all material relevant for the course on Data Analysis and Machine Learning at the University of Oslo. The material is developed in a modular fashion and can thus be reused for other courses at other universities or as material for intensive courses on data analysis and machine learning. @@ -91,6 +90,9 @@ the theory and methods. Some of the projects can be coordinated with the high-pe ## Possible textbooks +_Recommended textbooks_: +- Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer +- Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly _General learning book on statistical analysis_: - Christian Robert and George Casella, Monte Carlo Statistical Methods, Springer @@ -100,7 +102,6 @@ _General Machine Learning Books_: - Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press - Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer - David J.C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge University Press -- Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning, Springer - David Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press