Learning Bookmarks – Free e-Books, Courses, Tutorials

This page presents some of the great pages from the internet. The idea is to help you quickly learn the concepts using these pages.

Free Training Courses

• • Machine Learning
    • Machine learning course from Caltech: The course is taught by Feynman Prize winner Professor ,Yaser Abu-Mostafa.
    • ML course by Carnegie Mellon University: This course is taught by Tom Mitchell.
  • Docker
    • Docker classroom with Docker playground

Infographics

• Machine learning
  • Infographic (by Microsoft/Azure ML) of machine learning basics with links to algorithm examples (PDF)
  • Understanding machine learning (Futurism.com)

Free Books (e-books/PDF)

• Machine Learning
  • • The elements of statistical learning by Trevor Hastie
    • Machine learning by Tom Mitchell
    • Introduction to Statistical Learning with Applications in R: Authored by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
    • Gaussian processes for machine learning: Authored by Carl Edward Rasmussen and Christopher K. I. Williams
    • Understanding machine learning – From Theory to Algorithms: Authored by Shai Shalev-Shwartz and Shai Ben-David. The book introduces machine learning and the algorithmic paradigms.
    • Introduction to machine learning: Authored by Nils J. Nilsson (Stanford University)
    • Bayesian reasoning and machine learning: Authored by David Barber
    • Introduction to machine learning: Authored by Alex Smola and S.V.N. Vishwanathan

Playground

• Docker
  • Learn Docker using Docker Playground – Play with Docker Project
• Javascript
  • CodeSandbox: Playground to learn Angular, ReactJS, Vue, Svelte etc online