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Machine LearningNews

What could possibly be a leap in AI technology is a novel method devised by scientists at Adobe Research and the University of Rochester to train computers to draw insights on ‘Visual Sentiments’ from mere images. A paper, entitled “Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep

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Data Science 101Machine Learning

This article originally appeared at Sharp Sight Labs. Follow Joshua Ebner, the founder of Sharp Sight Labs, on Twitter. Read more here. Over and over, when talking with people who are starting to learn data science, there’s a frustration that comes up: “I don’t know which programming language to start

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Machine LearningNews

Skytree, the machine learning startup catering to the enterprise, has brought forth its latest offering- the Skytree InfinityTM 15.1. With this release, Skytree intends to streamline enterprise adoption of machine learning. “Skytree Infinity 15.1 automates key data science tasks, significantly increases the productivity and ultimately improves the results that come

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Data ScienceMachine Learning

It almost goes without saying that Tinder has taken the dating world by storm. Stats released late last year revealed that Tinder’s 50-million-strong userbase complete over a billion left and right swipes every single day. The success has often been attributed to the fact that Tinder is the closest virtual

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Data Science

In this post, we’re going to get our hands dirty with code- but before we do, let me introduce the example problems we’re going to solve today. 1) Predicting House Prices We want to predict the values of particular houses, based on the square footage. 2)Predicting Which TV Show Will

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Internet of Things

Having accelerated 200 startups who’ve raised €64,693,647 between them, Startupbootcamp know a thing or two about sniffing out killer startups. For their IoT & Data Accelerator, they received 250 applications, and heard 150 pitches across 12 days, from just 10 were selected. We had a chance to speak to five

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Data Science

Some companies really get big data. Not only do they realise size matters – they understand you also have to know what to do with it. Here’s a list of seven companies I think are at the top of the game, when it comes to cutting-edge use of data to

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Data ScienceNews

On a global scale, both genetic distance and phonemic distance between populations are significantly correlated with geographic distance, where phonemics has to do with sound units that distinguish meaning between words in language. As populations move away, it brings about change in both the linguistics and genes of the respective

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NewsStartups

According to Shikhar Ghosh, a senior lecturer at Harvard Business School, almost three-quarters of US venture-backed firms fail to return on investor’s capital. This week’s disheartening announcement from Fab proved that even the most promising cash cow is not a safe bet. Luckily, researchers at MIT may have come up

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Machine LearningNews

In lieu of the upcoming NCAA tournament office pools and pundit prognosis are starting to gain momentum. For the last few years, however the stakes are high; and the amount of predictive data available gets higher. Betting has been taken to an all new level with big data scientists using

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