Books

  • Machine Learning and Pattern Recognition, by Christopher Bishop
  • Elements of Statistical learning, by Trevor Hastie, et al.
  • Bayesian Data Analysis, by A. Gelman, et al.
  • Feedback Systems, by K.J. Aström and R.M. Murray
  • Elements of Information Theory, by T.M. Cover and J.A. Thomas
  • Statistics Explained:An introductory Guide for Life Scientists, by Steve McKillup
  • Probability: The Logic of Science, by E. T. Jaynes
  • Deep Learning, by I. Goodfellow, Y. Bengio and A. Courville

Note that you can find most of the excellent books free online. 

Online Courses

 

 

 

Responsible for the content: E-MailProf. Dr. Markus Kollmann