Remove 2010 Remove Big Data Remove Open Source
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Government Employees and Contractors: Attend 10 Apr Dialog With @LorenSiebert on Open Source DigitalGov Search Tech

CTOvision

The kind of things he has been involved in include helping government agencies understand the power of open source technologies for search solutions. Popular open source search technologies. Common use cases for search. Where search gets tricky. Who should attend. About the Presenter. To register see: [link].

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Federal Big Data Community Convenes 6 Feb at Apache Hadoop Forum

CTOvision

By Bob Gourley If you are an analyst or executive or architect engaged in the analysis of big data, this is a “must attend” event. Registration is now open for the third annual Federal Big Data Apache Hadoop Forum! 6, as leaders from government and industry convene to share Big Data best practices.

Big Data 113
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Attend the 6 Feb @Cloudera Federal Forum: For the Analyst, Data Scientist, #BigData Technologist in DC

CTOvision

The speakers are a world-class-best mix of data and analysis practitioners, and from what I can tell the attendees will be the real action-oriented professionals from government really making things happen in Big Data analysis. Here is more: Agenda: Registration Open. 8:00 AM Opening Remarks. 2:00 PM Break.

CTO 117
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How to Use Open Source Software: Features, Main Software Types, and Selection Advice

Altexsoft

February 1998 became one of the notable months in the software development community: The Open Source Initiative (OSI) corporation was founded and the open source label was introduced. The term represents a software development approach based on collaborative improvement and source code sharing. Well, it doesn’t.

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From the Intel Newsroom: Improving Parkinson’s Disease Monitoring and Treatment through Advanced Technologies

CTOvision

Big data analytics and data from wearable computing offer potential to improve monitoring and treatment of Parkinson’s disease. The Intel-built big data analytics platform combines hardware and software technologies to provide researchers with a way to more accurately measure progression of disease symptoms.

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Interview with a Data Scientist: Erik Bernhardsson

Erik Bernhardsson

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.

Data 101
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Interview with a Data Scientist: Erik Bernhardsson

Erik Bernhardsson

I was featured in Peadar Coyle’s interview series interviewing various “data scientists” – which is kind of arguable since (a) all the other ppl in that series are much cooler than me (b) I’m not really a data scientist. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering.

Data 100