Introduction to Machine Learning” by Alex Smola and S.V.N.
Vishwanathan is a foundational textbook that offers a comprehensive and mathematically rigorous introduction to core concepts in machine learning. The book covers key topics including supervised and unsupervised learning, kernels, graphical models, optimization techniques, and large-scale learning. It balances theory and practical application, making it ideal for graduate students, researchers, and professionals aiming to deepen their understanding of machine learning fundamentals and algorithmic principles.
PDF:
https://alex.smola.org/drafts/thebook.pdf
Vishwanathan is a foundational textbook that offers a comprehensive and mathematically rigorous introduction to core concepts in machine learning. The book covers key topics including supervised and unsupervised learning, kernels, graphical models, optimization techniques, and large-scale learning. It balances theory and practical application, making it ideal for graduate students, researchers, and professionals aiming to deepen their understanding of machine learning fundamentals and algorithmic principles.
PDF:
https://alex.smola.org/drafts/thebook.pdf
#MachineLearning #AI #DataScience #MLAlgorithms #DeepLearning #MathForML #MLTheory #MLResearch #AlexSmola #SVNVishwanathan
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Supervised Learning: Classification and Regression
Download: https://faculty.ucmerced.edu/mcarreira-perpinan/teaching/CSE176/lecturenotes.pdf
Download: https://faculty.ucmerced.edu/mcarreira-perpinan/teaching/CSE176/lecturenotes.pdf
#SupervisedLearning #MachineLearning #Classification #Regression #MLNotes #DataScience #AIResources #MLTheory #MLLectures #LearnML
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