Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

How Facebook Deal With Their Masses Of User-Generated Data
Data Science

For decades, companies have lived by the mantra “customer is king”. But in the age of the Internet- when users generate hoardes of data, not all of which is useful or accurate- the rules of the game have changed. We recently spoke to Tye Rattenbury, Trifacta’s lead Data Scientist, about

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Kreditech Secures Usd 200M Credit Facility From Victory Park Capital
Data ScienceNews

Press Release: The Kreditech Group, a leading consumer finance technology group, announced today the completion of a USD 200 million credit facility from Victory Park Capital, an asset management firm focused on middle market debt and equity investments based in the United States. The investment reflects investors’ confidence in its

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Stack Exchange Gain $40M To Become To Sole Platform That Matters For Dev Hiring Companies
Data ScienceNews

Stack Exchange the startup behind the popular Q&A platform for professional and enthusiast programmers, Stack Overflow, has secured $40 million in investment in a Series D round of funding, it revealed earlier this week. The round was led by Andreessen Horowitz and saw participation from existing investors like Union Square

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Data-Driven Home Improvement Platform Porch.com Secures $65M In Funding
Data ScienceNews

Porch– an online platform that connects homeowners to home improvement professionals using a data analytics- just nabbed over $65 million in Series B funding. The company aims to fuel its rapid growth while developing products for the home improvement, maintenance, and home buying industry as well as scaling its operations

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Planet Labs Secure $70M In Series C &Amp; Hiring New Coo To Bolster Their Fleets Of Tiny Satellites
Data ScienceNews

Planet Labs, the US based private startup that intends to create an ‘Earth-imaging satellite network with open data access’, just leveled up with a planned $70 million Series C round funding. The funding round which brings the total investment into to the company to $95 million, was led by Data

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The Most Interesting Man In Data Science
Data Science

From apple grower to fine arts student, from software developer to machine learning PhD- Jose Quesada has done it all. Now, he’s established Data Science Retreat, a course to help people with his passion for growth and development to delve into the world of data science. We recently spoke to

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Hackathons, Smart Cities And Startups: Life Inside A Coworking Space
Data ScienceStartups

So you’ve got your Next Great Idea for a data science startup that’s going to change the world. There’s a diverse number of paths you could take- incubators, accelerators, hiring a cheap office space- but one option we hear less about is coworking. We recently spoke to William van den

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Platform9'S New Offering Provides Easy &Amp; Rapid Access To Open Source Cloud Infrastructure
Data ScienceNews

Platform9, the private cloud service startup, has today announced the general availability of Platform9 Managed OpenStack, a SaaS solution that promises to transform an organization’s existing servers into an Amazon like “agile”, self-service private cloud in a matter of minutes. Sirish Raghuram, the co-founder and CEO of Platform9 said: “Today,

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Cloudian Now Tackling Storage-Specific Use Cases, Starting With Big Data &Amp; Hadoop
Data ScienceNews

Cloudian, the hybrid cloud storage provider, has rolled out its latest offering – the Cloudian HyperStore 5.1 software, last Thursday. An enhanced Amazon S3-compliant, the HyperStore 5.1 is a plug-and-play hybrid cloud software accommodates full Apache Hadoop integration. “To store data on a smart system like HyperStore, and run Hadoop

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How We Can Use Data Mining To Fight Corruption
Data Science

Data Mining is an analytic process designed to explore data (usually large amounts of data – typically business or market related – also known as “big data”) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns… Two centuries

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