Difference between revisions of "Community Resources"

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== Machine Learning ==
 
== Machine Learning ==
 
* [https://github.com/josephmisiti/awesome-machine-learning Awesome Machine Learning] - Helpful resources and code snippets for various ML and data analytics implementations on a variety of platforms.
 
* [https://github.com/josephmisiti/awesome-machine-learning Awesome Machine Learning] - Helpful resources and code snippets for various ML and data analytics implementations on a variety of platforms.
 +
* [https://github.com/PrieureDeSion/Randoms/blob/master/Helpful%20Resources.md Free Books and Implementation] - Contains a list of open sourced books on machine learning, statistics, data mining etc. You can also find some useful implementations of algorithms on Python/R.

Revision as of 08:20, 15 December 2016

Our community has made a number of blogs with excellent tutorials, hacks and guidelines. This article is a comprehensive list of tutorials arranged topicwise. All slides have been prepended with a [Slides] tag. All video tutorials with a [Videos] tag.

Linux

Scientific Computation / Writing

  • [Videos] MATLAB Workshop - Chinmay Rajhans - Two videos describing the basics of MATLAB and scientific computation using MATLAB. This workshop has been conducted in IIT Bombay in Autumn 2013, 2014 and 2015.
  • [Videos] LaTeX Workshop - Chinmay Rajhans - Two videos teaching you basics of LaTeX and getting you started into professional document making. This workshop has been conducted in IIT Bombay in Autumn 2013, 2014 and 2015.

Web Development

Open Source

  • [Slides] FOSS Intro - Ranveer Aggarwal, Kalpesh Krishna - The slides of our FOSS / GSoC session for Autumn 2015 and Autumn 2016.
  • [Slides] Git / Github - Kalpesh Krishna, Sumith Kulal - The slides of our Git / Github session for Summer 2015, Spring 2016, Summer 2016.
  • How to Select a GSoC Organization? - Meet Udeshi - A dilemma faced by several students in IIT Bombay. This blog explains the basic approach Meet followed and his suggestions while making the crucial decision of selecting one's GSoC organization.
  • GSoC Pre-Selection: Do's and Don'ts - Ranveer Aggarwal - What do mentors see in a participant while selecting them for GSoC? What skills should a participant posses and how is the selection done?
  • Terasology Getting Started - Nihal Singh - A beginners guide to contribution in Terasology, also an open source project.
  • Starting Bug Squashing in Mozilla - Manish Goregaokar

Network Security

Python Programming

  • Python Splicing - Kumar Ayush - An interesing discussion on the intuition behind splicing in python.

Machine Learning

  • Awesome Machine Learning - Helpful resources and code snippets for various ML and data analytics implementations on a variety of platforms.
  • Free Books and Implementation - Contains a list of open sourced books on machine learning, statistics, data mining etc. You can also find some useful implementations of algorithms on Python/R.