Systems and Signals Complexity in Nature's Shapes and Rhythms Imperial Mathematics
	Books I’m always recommending to beginners
Home People Research Join Us	Some of these have a free pdf version: go to the author’s website. I’ve noted when I know about this. Very very intro dynamical systems and complex systems: Understanding Nonlinear Dynamics - Kaplan and Glass Intro Dynamical Systems – Nonlinear Dynamics and Chaos - Strogatz Networks – Newman Statistical Analysis of Network Data: Methods and Models - Eric D. Kolaczyk Very very intro stochastics - An Introduction to Stochastic Processes in Physics - Don S. Lemons Very intro stochastics - Stochastic Processes for Physicists: Understanding Noisy Systems - Kurt Jacobs Intro to stochastics – Stochastic Methods – Gardiner (or equiv. book by van Kampen) (Very) Introduction to the Theory of Computation (narrow) by Michael Sipser Intro to theory of computation (wide) – Nature of Computation – Moore and Mertens Intro to stats: All of Statistics – Wasserman Very intro to statistical physics - Statistical Mechanics: Entropy, Order Parameters and Complexity - James Sethna FREE PDF Intro to Machine Learning (Bayesian CS): Bayesian Reasoning and Machine Learning David Barber FREE PDF Intro to Machine Learning (Stats-CS-ish): The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman FREE PDF Intro to Machine Learning (Bayesian): Pattern Recognition and Machine Learning – Chris Bishop General fun intro to diverse topics: Information Theory, Inference and Learning Algorithms by David J. C. MacKay FREE PDF Decent intro to Control theory suitable for physicists – no single recommendation – Review of Modern Physics by Bechoeffer and books by Sontag (FREE PDF) and Zabczyk on Mathematical Control theory. Also lecture notes online on classical control theory by Zabczyk. Introduction to Optimal Control theory – Chapters by Emo Todorov or Bert Kappen