Weekly Big Data Catch-Up

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Big Data News, Events, and Expert Opinion

Excerpts:

Linear Regression Implementation in Python

Linear Regression Implementation in Python TutorialIn 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 Have More Viewers Next Week The Flash and Arrow are my favourite TV shows. I want to find which show will have more viewers in the coming week. 3) Replacing Missing Values in a Dataset Often we have to work with datasets with missing values; this is less of a hands-on walkthrough, but I’ll talk you through how you might go about replacing these values with linear regression. So, Let’s Dive Into the Coding (Nearly) Before we do, it would...
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5 Internet of Things & Data Startups Worth Keeping an Eye On

5 iot internet things data science startups to watchHaving 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 of the promising companies, and get a better idea of how they’re each trying to overhaul the IoT and data spaces. These five startups are certainly worth keeping an eye on in the months- and years- to come. Zolertia by Marc Fàbregas, CEO The product: Zolertia offers to the market a new and innovative communication hardware to connect anything to Internet in a very simple and energy efficient way, to make real those tens of billions of products that are...
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The 7 Most Data-Rich Companies in the World?

The 7 Most Data-Rich Companies In The WorldSome 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 strategically achieve business goals. If you run a business yourself and are interested in big data projects, there is something to be learned from every one of these. So in no particular order … General Electric GE – with its fingers in every pie from finance to aviation to power, is perfectly positioned to benefit from its championing of “The internet of things”. They clearly see that IOT – the concept that every device can be networked and learn to...
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Fascinating New Study Proves Languages and Genes Evolve Together

Fascinating New Study Proves Languages and Genes Evolve Together 2On 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 populations. Greater the dispersion in geographies, greater is the change in both genes and phonemes. These findings were made true by data analyses conducted jointly and in parallel, from phoneme inventories from 2,082 worldwide languages and microsatellite polymorphisms from 246 global populations, where Microsatellite polymorphisms are individually varying DNA sequences. Published in the Proceedings of the National Academy of Sciences, the study was carried out by a research team that comprised of anthropologists and biologists from Stanford University, University of...
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This Mathematical Model Can Tell Us Why Some Startups Go Up in Flames

This Mathematical Model Knows If Your Startup Will Go Up in FlamesAccording 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 with a mathematical model which can assess the “quality” of a startup- and help us understand why some startups go up in flames. The model is based on an empirical study which projects the growth potential of tech startups with “new precision — and could help local or regional policymakers assess their growth prospects,” according to the MIT News Office. It determines the “quality” of startups, where “quality” denotes the chances of either landing an IPO or getting acquired within the...
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Kaggle’s March Machine Learning Madness is Back!

Kaggle's March Madness Machine Learning Mania is Back!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 analytics to predict bids and sponsor competitions. With millions fillings out brackets, coin flipping is no longer an option. The odds of making the correct predictions are exponentially increased with the correct analysis of data collected throughout the seaon, as well as previous years’ data which includes player statistics, tournament seeds, geographical factors and social media. Kaggle HQ has yet again taken out their annual March Data Madness competition pits you against the millions of sports fans and office-pool bandwagoners...
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