Topic
mathematics
2 resources tagged “mathematics”.
Foundations of Data Science
Avrim Blum, John Hopcroft, Ravindran Kannan
The mathematical and algorithmic underpinnings of data science: high-dimensional geometry, singular value decomposition, random graphs, clustering, and machine-learning theory, aimed at readers who want to understand why the methods work.
Machine LearningAdvancedOfficial Free DistributionPDF · 3.5 MB
Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
The mathematical foundations behind machine learning, taught for ML rather than in the abstract: linear algebra, analytic geometry, matrix decompositions, vector calculus, probability, and optimization, connected to real ML models.
Machine LearningAdvancedOfficial Free DistributionPDF · 17 MB