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.

Big DataData Science

The common usage cases for big data and employees usually stops at HR and recruiting. However, recent news has sparked interest in the dark uses of data in the workplace. Until recently, the biggest concern about data collection was whether Target would find out you were pregnant, or you would

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Artificial IntelligenceData ScienceMachine Learning

In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn’t helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as

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Data Science

As Hadoop gains traction among companies of all sizes, many are discovering that getting a cluster to run optimally is a daunting task. In fact, it’s impossible for any human to respond in real time to all the changing conditions across multiple nodes to fix problems causing bottlenecks or performance

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Data ScienceRetail & ConsumerTechnology & IT

In politics decision making takes time, especially when there is a lot at stake. In Brussels, home of the European Union, this has been the case for the new EU data protection package. Last June, the EU Civil Liberties and Justice Committee (aka LIBE) entered “trilogue” negotiations between the EU

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Data Science

Dimensionality reduction as means of feature extraction Feature extraction is a very broad and essential area of data science. It’s goal is to take out salient and informative features from input data, so that they can be used further in predictive algorithms. Modern data scientists observe large amounts of data,

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Big DataData Science

Every business knows that their data, from customer demographics and buying behavior to production insights, holds tremendous value. But, historically, most have considered only its internal worth—the insight it provides to improve operational efficiency, deliver a better customer experience, enhance products and services or save money. But now, a new perspective on data

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Data Science

2015 was a good year for data science. A cursory glance at any tech jobs board reveals the sheer breadth of companies looking for data science expertise. Technical terms such as machine learning are slowly entering the public consciousness. Many people still don’t realise how much data science touches their

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Big DataData Science

As companies of all types and sizes from around the world come to realize the many benefits they stand to gain from big data analytics, the more they’re willing to adopt the tools necessary to make it all happen. They’re also learning for themselves what the best practices are for effectively utilizing big

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Data Scienceinfographics

Re-identifying the roles in the Data Science Industry Data Science is a growing field, that goes without saying. Businesses are taking a data driven approach to maximize understanding, output and results within their industry, gaining a competitive advantage. Although, the end goal for all companies is more or less the

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Big DataData ScienceStartups

Awesome new start-ups are popping up every day and it’s easy to overlook even the coolest, most cutting edge developers—especially when they’re not based in Silicon Valley. Amazing, unexpected projects are popping up all over Europe, and that’s why we’re going to look at some of those newer, local start-ups

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