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 AbuMostafa.
 ML course by Carnegie Mellon University: This course is taught by Tom Mitchell.
 Docker
 Machine Learning
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 (ebooks/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 ShalevShwartz and Shai BenDavid. 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
 Javascript
 CodeSandbox: Playground to learn Angular, ReactJS, Vue, Svelte etc online
You can use citation styles as appropriate. Thank you Kumar, Ajitesh. "Two independent samples ttests: Formula & Examples." Vitalflux.com, 22…