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
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  Machine Learning Notes 📝  (1).pdf
    4.9 MB
  Machine Learning Notes with Real Project and Amazing discussion
https://t.iss.one/CodeProgrammer🌟 
#MachineLearning #AI #DataScience #MLAlgorithms #DeepLearning
https://t.iss.one/CodeProgrammer
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