Full text on arXiv: Laurent Younes' 'Introduction to Machine Learning' spans math to generative models
TheTuringPost · x · 2026-10-24
TheTuringPost links the arXiv full text (2409.02668, revised May 2025) of Laurent Younes' 'Introduction to Machine Learning'. The book starts with notation, calculus, linear algebra and probability (including measure theory), plus matrix analysis and optimization supporting algorithms like SGD and proximal methods; then statistical prediction basics, reproducing kernels and Hilbert space techniques; supervised learning (linear methods, SVMs, decision trees, boosting, neural networks); generative methods (sampling, Markov chains, graphical models, variational methods, deep generative models); and unsupervised learning: clustering, factor analysis and manifold learning.
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