Giter Club home page Giter Club logo

the-field-guide-to-data-science's Introduction

The Field Guide to Data Science

We cannot capture all that is Data Science. Nor can we keep up - the pace at which this field progresses outdates work as fast as it is produced. As a result, we have opened this field guide to the world as a living document to bend and grow with the community, technology, expertise, and evolving techniques. Therefore, if you find the guide to be useful, neat, or even lacking, then we encourage you to add your expertise, including:

  • Case studies from which you have learned
  • Citations for journal articles or papers that inspire you
  • Algorithms and techniques that you love
  • Your thoughts and comments on other people’s additions

Everyone you will ever meet knows something you don't.

Email us your ideas and perspectives at [email protected] or submit them via a pull request on the Github repository.

Tell us and the world what you know. Become an author of this story.

Places to Contribute

Life in the Trenches - Lessons Learned

In the original content, we picked a few topics of interest to us and gave examples. Feel free to add an example to an already mentioned topic or begin a new topic.

Building Blocks - References to Learn From

We all have to start somewhere and where is better than with source from someone/somewhere that is doing great things?

Journal Articles

Journal articles inspire by sheding light on the possible. It can be so much easier to be critical than to complement at times, but we really would rather focus on papers with techinques or points of view that you have used to be successful. Journal reviews or examples that are rude or attack authors personally will not be posted.

Online Tutorials

Have you taken an online tutorial that you think is worth while?

Favorite Software

Do you have a favorite library or open source software package that you couldn't live without?!?! Let's hear it.

Hyperlinks

Please note that we cannot possibly police all hyperlinks put on here, but we will do our best. If you find a link that is bad or broken, please file an issue immediately.

##How to Contribute

the-field-guide-to-data-science's People

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.