Difference between revisions of "The Square/Data Science"

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<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;What is '''Data Science?'''</div>
 
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;What is '''Data Science?'''</div>
First, git is an open-source version control system. In other words, when developers create something (e.g. a mobile app), they make constant changes to the code, releasing new versions up to and after the first official (non-beta) release. Version control systems keep these revisions straight, storing the modifications in a central repository. This allows developers to easily collaborate, as they can download a new version of the software, make changes, and upload the newest revision. Every developer can see these new changes, download them, and contribute.
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Data science is the study of the extraction of knowledge from data by using math, probability models, machine learning, computer programming, statistics, pattern recognition and learning, visualization, uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.
 
 
However, people who are not involved in the technical development of a project can still download the files and use them. Git is the preferred version control system of most developers, since it has multiple advantages over the other systems available. It stores file changes more efficiently and ensures file integrity better.
 
  
 
<div style="line-height: 3em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Your '''Resources'''</div>
 
<div style="line-height: 3em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Your '''Resources'''</div>

Revision as of 01:18, 16 May 2018


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About Contact GCcollab


 
Welcome to the Data Science Learning Playlist


 What is Data Science?

Data science is the study of the extraction of knowledge from data by using math, probability models, machine learning, computer programming, statistics, pattern recognition and learning, visualization, uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.

 Your Resources

Groups on GCcollab

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Events

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Videos

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News Articles and Blogs

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MOOCs (Massive, Open, Online Courses)

Books

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Podcasts

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Academic Articles

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Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.)

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Sources?

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