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Mathematics for Machine Learning

av Marc Peter Deisenroth

Mathematics for Machine Learning

av Marc Peter Deisenroth
Mathematics for Machine Learning

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probabi…

Mathematics for Machine Learning

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probabi…

Mining of Massive Datasets Machine Learning Understanding Machine Learning Bayesian Reasoning and Machine Learning
Mining of Massive Datasets av Jure LeskovecMachine Learning av Peter FlachUnderstanding Machine Learning av Shai Shalev-ShwartzBayesian Reasoning and Machine Learning av David Barber

Evaluating Learning Algorithms Foundations of Data Science Computer Vision Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
Evaluating Learning Algorithms av Nathalie JapkowiczFoundations of Data Science av Avrim BlumComputer Vision av Simon J. D. PrinceHands-on Machine Learning with Scikit-L... av Aurelien Geron
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