Learn to use Python for research in physics with this practical guide, covering best practices and tools for effective computation and data analysis in the field.
A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.