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9.6 hours 59 teams $100,000 2 months 407 teams $80,000 57 days 551 teams $50,000 14 days 3040 teams 1951 scripts $35,000 2 months 310 teams 177 scripts $30,000 2 months 572 teams 382 scripts $20,000 2 months 168 teams 144 scripts Jobs 38 days 197 teams $10,000 7.4 days 605 teams 443 scripts $500 4 months 201 scripts Swag 8.4 days 226 scripts Swag 20 days 921 teams 593 scripts Knowledge 6 months 865 teams 784 scripts Knowledge 31 days 867 teams 1392 scripts Knowledge 31 days 3744 teams 2271 scripts Knowledge 31 days 96 teams Knowledge 31 days 59 teams Knowledge

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GitHub Special: Data Scientists to Follow & Best Tutorials on GitHub Introduction Twitter started the trend of ‘People to Follow’. This later got replicated by other platforms such as Facebook, Linkedin, Quora and GitHub. This cool feature lets you connect with the rockstars of various domains and get an access to what is going on their end without bothering them much. For the influencers, this has become an effective way to communicate with their followers. The lives of people on GitHub doesn’t appear to as tempting as you would observe on other platforms, but if you love coding, programming and data science, you’ll surely enjoy the company of 9 million users on this platform!

Learn Data Science by nborwankar Who Nitin Borwankar - primary developer (Sponsored by Pivotal Inc. and Alpine Data Labs). What A collection of Data Science Learning materials in the form of IPython Notebooks.Associated data sets. The initial beta release consists of four major topics Linear RegressionLogistic RegressionRandom ForestsK-Means Clustering About - HIP Investor HIP = Human Impact + Profit Our world of more than seven billion people faces many human problems that need solutions, many of which can be served by companies. By solving these human needs profitably through products and services (from Walmart’s $4 generic drug program to ICICI Bank’s micro-loans to Vestas’s wind turbines), a company can benefit customers, inspire employees, engage suppliers, and deliver sustainable profitable growth for its investors. Building a HIP Portfolio that solves problems in Health, Wealth, Earth, Equality and Trust is a driver for attractive long-term financial performance.

Product Overview - Big Data Analytics - Datameer Integrate, prepare, analyze and visualize any data Datameer simplifies the big data analytics environment into a single application on top of the powerful Hadoop platform. The only end-to-end big data analytics application for Hadoop designed to make big data simple for everyone, Datameer combines self-service data integration, analytics and visualization functionality that provides the fastest time to insights. Data integration Liberate your data Data is the raw materials of insight and the more data you have, the deeper and broader the possible insights. Not just traditional, transaction data but all types of data so that you can get a complete view of your customers, better understand business processes and improve business performance. Learn about data integration Self-service data analytics Insights without boundaries Datameer provides complete analytics from simple joins and transforms to complex predictive analytics.

WiLAN - Research - WiLAN Labs In 1999, WiLAN co-founded the OFDM Forum. With the influence of members like Philips Semiconductors, Nokia and Motorola, the Forum succeeded in having W-OFDM adopted in the IEEE 802.16a Metropolitan Area Network standard. By July 2003, WiLAN had launched the W-OFDM-based LIBRA 5800 and followed up with the Libra MX WiMAX Platform, WiLAN’s fourth generation W-OFDM platform, in November 2004. Today, WiLAN remains committed to commercializing innovative technology. WiLAN Labs, a subsidiary of WiLAN (formerly Cygnus Broadband), develops innovative solutions to the challenging problems facing next generation communication networks.

CS109 Data Science Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries. We will be using Python for all programming assignments and projects. All lectures will be posted here and should be available 24 hours after meeting time. The course is also listed as AC209, STAT121, and E-109. Services4Stock Services4Stock is a unique platform created to provide emerging companies with an easier way to finance their growth. Typically, companies with high growth potential seek financing from venture capital firms or investment banks. As many entrepreneurs can attest, that process is time-consuming, frustrating, and often fruitless. Fortunately, there's an easier way. You can now expand your business by getting the help you need directly from the service providers. Services4Stock facilitates exactly this kind of crowdfunding / crowdsourcing.

mapView: basic interactive viewing of spatial data in R Working with spatial data in R I find myself quite often in the need to quickly visually check whether a certain analysis has produced reasonable results. There are two ways I usually do this. Either I: (sp)plot the data in R and then toggle back and forth between the static plots (I use RStudio) orsave the data to the disk and then open in QGIS or similar to interactively examine the results. Both these approaches are semi-optimal. Where option 1. is fine for a quick glance at a coarse patterns, it lacks the possibility to have a closer look into the results via zooming and paning.

Data Wrangler UPDATE: The Stanford/Berkeley Wrangler research project is complete, and the software is no longer actively supported. Instead, we have started a commercial venture, Trifacta. For the most recent version of the tool, see the free Trifacta Wrangler. Why wrangle?