Brief: In open source philosophy, you share source code. Why not share data along the same line? That’s what Linux Foundation’s Community Data License Agreement tries to address. I am here at the first day of Open Source Summit 2017 Europe edition, in Prague. Things have just started.
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“Artists tell us everything about themselves. It’s the Facebook of music,” Perry said. “They aggregate their social media with us. More [concert] show listings for emerging artists are posted with us than any other single site in the world.
Online music hub ReverbNation was founded in 2006 as a social networking and career-building tool for up-and-coming artists. Since then, the company has had a continued track record of success in bringing new talent to the fore in popular music.
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At its core, Amazon’s goal is to remove as much friction as possible from a customer finding what they want, ordering it, and having it land on their doorstep. Its ambitions started with books, but have since extended to just about every other category, including clothes.
MIT Technology Review reports that a team at the e-commerce company, working at a San Francisco research center, has devised an algorithm that analyzes images to learn about specific styles of clothing. It then creates similar new items from scratch.
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“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith The terms “Big Data” and “Business Intelligence” are often used interchangeably.
However, technically speaking, they are nowhere near each other. In fact, “Business Intelligence” and “Big Data” refer to entirely separate processes that fulfil individual functions, albeit within the same overall domain.
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What can we learn about ourselves from the things we ask online? US data scientist Seth Stephens‑Davidowitz analysed anonymous Google search results, uncovering disturbing truths about our desires, beliefs and prejudices
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Google, Facebook – wherever the cookies are, they know what you’re doing. Two Germans are offering some solutions to keep your browsing private. Shop on Amazon and then later, you will see ads for the same, recommended products as you sign into Facebook.
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Big data challenges are numerous: Big data projects have become a normal part of doing business — but that doesn’t mean that big data is easy.
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Amazon has long relied on customers providing feedback and providing other ranking data as part of the process of encouraging more sales on its platform, and now the e-commerce giant is adding a new twist on this to spur more buying in its books business.
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As I have written in my last two articles (Machine Learning Everywhere and Preparing Data for Machine Learning), machine learning is influencing our lives in numerous ways.
Machine learning is everywhere, and although the theory and practice both can take some time to learn and internalize, the basics are fairly straightforward for people to learn.
The basic idea behind machine learning is that you build a model—a description of the ways the inputs and outputs are related. This model then allows you to ask the computer to analyze new data and to predict the outputs for new sets of inputs. This is essentially what machine learning is all about.
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There are plenty of options for particular metrics to drive paid search programs toward, but not every KPI is created equal. Here, we’ll dive into what your preferred KPI says about you and provide recommendations to help you assess whether your KPI reflects the goals you care about.
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