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.

- 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

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

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

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