Pattern Recognition and Machine Learning
Christopher M. Bishop
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
Bayesian Reasoning and Machine Learning
David Barber
Computer Age Statistical Inference
Bradley Efron
Machine Learning
Peter Flach
Generative Deep Learning
David Foster
Tiny ML
Pete Warden
How to Speak Whale
Tom Mustill
Learning OpenCV 3
Adrian Kaehler
The Data Science Design Manual
Professor Steven S. Skiena
How to Speak Whale
Tom Mustill
Inside PixInsight
Warren A. Keller
Programming Computer Vision with Python
Jan Erik Solem
Building Machine Learning Powered Applications
Emmanuel Ameisen
Pattern Classification 2e
RO Duda



