The real secret to unlocking big data? Math | VentureBeat | Business | by VentureBeat It’s often said that mathematics is the universal language. It represents ideas and pure logic, crossing every domain from business to social and physical sciences, and even art. Yet with the advent of more and more (big) data, we have not fully used the power of math as a universal language; instead we’ve focused on more specific concepts like the query and pattern matching to help search information and find relationships in data faster. As technologists, we know all of this ends up as 1s and 0s, but the algorithms behind the data are less of a focus, leaving many problems deep within the lingo and existing practices specific to their domain.
The Big Data Conundrum: How to Define It? One of the biggest new ideas in computing is “big data.” There is unanimous agreement that big data is revolutionizing commerce in the 21st century. When it comes to business, big data offers unprecedented insight, improved decision-making, and untapped sources of profit.
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This is a guest post by technology executive John De Goes “Big data” is dead. Vendors killed it. Well, industry leaders helped, and the media got the ball rolling, but vendors hold the most responsibility for the painful, lingering death of one of the most overhyped and poorly understood terms since the phrase “cloud computing.” ‘Big data’ is dead. What’s next?
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In this post I’m going to create a simple ASP.NET MVC website for a simple blog that uses MongoDB and the offical 10gen C# driver. MongoDB is no NOSQL database that stores information as Binary JSON (BSON) in documents. I have been working with it now for around 6 months on an enterprise application and so far am loving it. Our application is currently in alpha phase but should be public early next year! A MongoDB Tutorial using C# and ASP.NET MVC | Joe Stevens' Blog
This is the continuation of my series exploring Machine Learning, converting the code samples of “Machine Learning in Action” from Python to F# as I go through the book. Today’s post covers Chapter 4, which is dedicated to Naïve Bayes classification – and you can find the resulting code on GitHub. Disclaimer: I am new to Machine Learning, and claim no expertise on the topic. I am currently reading“Machine Learning in Action”, and thought it would be a good learning exercise to convert the book’s samples from Python to F#. The idea behind the Algorithm Naïve Bayes Classification
by Mike Bowles Mike Bowles is a machine learning expert and serial entrepreneur. This is the second post in what is envisioned as a four part series that began with Mike's Thumbnail History of Ensemble Models.
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Big Blue unveiled a package of services and analytics called BigInsights based on Apache's open source Hadoop. With Big Blue behind Hadoop, companies with Big Data problems may find the open source technology is available in more manageable forms. IBM, the originator of the SQL data access language, has recognized the NoSQL movement has a point. IBM Picks Hadoop To Analyze Large Data Volumes -- InformationWeekIBM Picks Hadoop To Analyze Large Data Volumes - software Blog