Just launched, Data Elite is a new startup incubator for big data, analytics, and data science startups. Actually, here is the exact description from their website.
Data Elite is an institution that provides world-class early stage funding, top tier counseling and a home to aspiring Big Data start-ups.
The program will be highly selective (5 years of big data experience or a startup exit), but it will offer mentorship from some of the best minds in data science. The inaugural program will being January 15, 2014, with applications due December 15, 2013.
The site is live at http://www.listudy.com
The internet is filled with wonderful tutorials, blog posts, courses, and articles about learning data science. Listudy aims to be a place to organize and reference those learning resources. The site is in the very early stages, so please be patient and stay tuned for future updates. Also, follow along on twitter @listudy or facebook.com/listudycom.
Right now, Listudy is a large collection of data science links that can be filtered and sorted by tags.
Note: The idea for Data Science 201/Listudy nearly died, but I have been persuaded to launch what I have and see if people find it useful. Please leave a comment or shoot me an email ( ryan at listudy.com) if you have some feedback or find the site useful.
Don’t forget about the Kalido Data Science Webinar taking place tomorrow.
The excellent and popular Machine Learning class from Coursera and Andrew Ng starts today. This is the 3rd or 4th run of the course.
There is nothing magical about this data. It is just income data. The magic comes from the excellent visualizations, and the story being told. If you need to make your data come to life, this video is an excellent example.
A new Data Science Association has been created. It is only a few months old. Currently, for a limited time, a one-year membership is free. The Data Science Association promises to offer networking possibilities, conference discounts, and other benefits.
One of the main contributions the Data Science Association has made so far is a Data Science Code of Conduct. It provides some solid definitions and guidelines for being a data scientist. It is worth reading through.
Not too long ago, I posted a list of 7 Data Science Papers. Since then, I have found a few more interesting and more recent developments in data science.
- Recursive Deep Models … – Recent Paper from Stanford about Sentiment Analysis with deep learning
- Google Spanner – Google’s globally distributed database
- Google Megastore – Another database out of Google, but this one includes SQL-like querying and other differences from Megastore.
- F1 – A distributed SQL database that scales. F1 is built on top of spanner.
- Apache Drill – A distributed system for ad-hoc query analysis. This journal article comes from the Big Data Journal.