g33ktalk Weekly
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READ THIS NOW |
From UC Berkley’s School of Information, this complete video course will teach you to master big data analysis using examples from Twitter. Video playlist.
A Python library for rapid machine learning prototyping, Ramp acts as a wrapper around several ML and stats libraries like scikit-learn and rpy2. This article works through the ‘Detecting Insults in Social Commentary’ challenge from Kaggle as an example. 15 mins
graph-tool is a super-efficient python module for manipulation and analysis of networks. The core data structures and algorithms are implemented in C++, conferring high performance when using large data sets. 5 mins
Keeping Passwords in Source control
Here’s some slick advice that shows you how to store your passwords and other config info in your repo securely. Protect yourself from this: https://github.com/search?p=3&
10 mins
Complete explanation of how exactly the Rails vulnerability works, including exploitable scenarios and mitigation tips. 15 mins.
NYC EVENTS |
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| Data visualization with Web Standarts (Mon, Feb 11) | |
Andrew Trice of Adobe and Siarhei Mardovich of EPAM Systems will be discussing data visualization with web standards, and interactive and user-experience design with a HTML/CSS3/JS toolkit.
SF EVENTS |
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| The Votamatic project insight (Tue, Feb 12) | |
Drew Linzer, Assistant Professor of Political Science at Emory University, and Visiting Assistant Professor at Stanford University will do a tell-all about the dynamic Bayesian forecasting model he used at votamatic.org, website which presedential election forecasts were widely recognized as among the best of the campaign.