Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Jean-Cyril Schutterle. Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants’ showcases. It was pretty similar to the auto show concept car – there to be admired but not to be touched. Today, though, AI is everywhere. Whether it’s virtual assistants scheduling our meetings, facial recognition software or increasingly autonomous cars, AI is making itself felt in all our private and professional lives. One thing is certain – AI is here to stay. But quite what its impact ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Chirag Shivalker. Drones flying in the skies to deliver packages to customers, is how technology based on data and analytics is likely to impact retail industry and consumers both – in near future. New ways and means of understanding the customers are emerging and both, online and offline retailers are embracing this data first strategy. These retailers are trying their level best to match customers to products and services. Retail is increasingly becoming a data driven business and is going digital creating many more data capture opportunities. With every click, tap ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  In just the last 10 months based only on facial characteristics deep learning has been used to predict who is a criminal and who is gay.  These are rigorous, peer reviewed studies published in academic journals.  How should this knowledge be used and how will the public react? Were you as freaked out as I was when earlier this month two well qualified data scientists from Stanford said they could predict whether someone is gay or straight from just their picture? I am a solid technology optimist but ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vinod Sharma. AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa’s mobile phone market has expanded to become larger than either the EU or the United States with some 650 million subscribers (2016 data). At the same time, Internet bandwidth has grown 20-fold as hundreds of thousands of kilometres of new cables have been laid across the continent to serve an increasing number of its 1.2 billion ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article was written by Uli Bethke. The full title is "Dimensional Modeling and Kimball Data Marts in the Age of Big Data and Hadoop".  Is dimensional modeling dead? Before I give you an answer to this question let's take a step back and first have a look at what we mean by dimensional data modelling. This long article has the following sections: Why do we need to model our data? Why do we need dimensional models? Data Modelling vs Dimensional Modelling So why do some people claim that dimensional ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article was written by Dan Shewan. If science-fiction movies have taught us anything, it’s that the future is a bleak and terrifying dystopia ruled by murderous sentient robots. Fortunately, only one of these things is true – but that could soon change, as the doomsayers are so fond of telling us.  Image via Abdul Rahid Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to “disrupt” (to borrow a favored term) life as we know it quite like machine learning, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article was written by Tom Simonite. The nonprofit behind Wikipedia is teaming up with Google to work on algorithmic discussion monitors. Misogyny, racism, profanity—a collection of more than 13,500 online personal attacks has it all. The nastygrams came from the discussion pages of Wikipedia. The collection, along with over 100,000 more benign posts, has been released by researchers from Alphabet and the Wikimedia Foundation, the nonprofit behind Wikipedia. They say the data will boost efforts to train software to understand and police online harassment. “Our goal is to see how can ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article comes from a writer at Steemit. First off, let me say: this topic is vast. In my article, I’ll try to boil down the main facts, but be warned, you should investigate the matter on your own to learn more. Hope I can set you on the right path at least. Lets dive in! 1. Deep learning is a type of machine learning Machine learning, as we previously examined, consists of a machine learning from experience, by perfecting a model it forms after doing a task over and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sheetal Sharma. Applications of SVM in Real World  SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of applications in several fields. Some common applications of SVM are- Face detection – SVMc classify parts of the image as a face and non-face and create a square boundary around the face. Text and hypertext categorization – SVMs allow Text and hyper text categorization for both inductive and transductive models. They use training data to classify documents into different categories. It categorizes on the basis ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Announcements Vertica in-database machine learning supports the entire predictive analytics process with end-to-end machine learning management, massively parallel processing and simple SQL execution, allowing data scientists and analysts to embrace the power of Big Data with no limits and no compromises. Find out how you can accelerate time to value on predictive analytics projects with Vertica. Learn more. Don’t miss out! The next class ... Read More