Pattern Recognition and Machine Learning
Christopher M. Bishop
Advances in Financial Machine Learning
M Lopez de Prado
Mathematics for Machine Learning
Marc Peter Deisenroth
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Understanding Machine Learning
Shai Shalev-Shwartz
Linear Algebra and Learning from Data
Gilbert Strang
Probabilistic Graphical Models
Daphne Koller
Multiple View Geometry in Computer Vision
Richard Hartley
Bayesian Reasoning and Machine Learning
David Barber
Machine Learning
Peter Flach
Generative Deep Learning
David Foster
Learning OpenCV
Gary Bradski
Tiny ML
Pete Warden
Learning OpenCV 3
Adrian Kaehler
The Data Science Design Manual
Professor Steven S. Skiena
Introduction to Picture Interpretation
Theodor Abt
Computer Vision
Richard Szeliski
Inside PixInsight
Warren A. Keller
Programming Computer Vision with Python
Jan Erik Solem



