Feed: Hazelcast Blog. Author: Neil Stevenson. In this example. we’ll look at doing some analytics on an online shop to gain insights into customer behaviour. Background Most online shops follow a similar pattern in terms of the customer experience. Users are presented with a catalogue of products on a browser page or mobile application, and may make selections from these. Items selected are added to a virtual shopping basket. At some stage in the process there is the chance to manipulate the contents of the virtual shopping basket, removing items, changing the quantities for items, or other amendments such as ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Natural language processing (NLP) is getting very popular today, which became especially noticeable in the background of the deep learning development. NLP is a field of artificial intelligence aimed at understanding and extracting important information from text and further training based on text data. The main tasks include speech recognition and generation, text analysis, sentiment analysis, machine translation, etc. In the past decades, only experts with appropriate philological education could be engaged in the natural language processing. Besides mathematics and machine learning, they should have been familiar with some ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Autonomous cars are racing down the highway at speeds exceeding 100 MPH when suddenly a car a half-mile ahead blows out a tire sending dangerous debris across 3 lanes of traffic.  Instead of relying upon sending this urgent, time-critical distress information to the world via the cloud, the cars on that particular section of the highway use peer-to-peer, immutable communications to inform all vehicles in the area of the danger so that they can slow down and move to unobstructed lanes (while also sending a message to the nearest ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. My nephew's a very impressive young man. Five years ago, he received a PhD in Biochemistry/Molecular Biology from a prestigious university, earning numerous teaching and research awards along the way. He then took a faculty position at a college where, several years later, he decided to become literate in analytic computation in addition to executing his teaching and research responsibilities.He's become proficient in R, completing the Coursera Data Science Specialization from Johns Hopkins, along with other courses/self-study endeavors including SQL, bioinformatics/Bioconductor, Statistics with R for the Life Sciences, and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Maryna Ivakhnenko. Amazon is every online retailer’s forbidding nightmare. Last year, it dominated 44 percent of the US eCommerce market and about 4 percent of all domestic retail sales. One Click Retail, an eCommerce analysis provider, explains its dominance with the fact that millennials, Amazon’s core demographic, are getting older and starting to spend more. Moreover, advanced marketing capabilities for sellers, developments in Alexa, and pioneering in applications of the hottest technologies make it impossibly hard for smaller competitors to actually… well, compete.   Amazon is not only a simple and familiar platform selling everything you can think of – it’s ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jay Nair. Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines the term as a system that adaptively utilizes underlying algorithms or processing with exposure to new data. It wasn’t always a hot trend though. The present dictates otherwise, with much of the steam being attributed to the: Massive Computing Power of New-Generation Computers Greatly Increased Capacity of Storage Devices (Petabytes of Data on Cloud) Effortless and Fluid Access to Digital Data This was an expected outcome, with ... Read More

Feed: R-bloggers. Author: R Views. In previous posts, we covered how to run a Monte Carlo simulation and how to visualize the results. Today, we will wrap that work into a Shiny app wherein a user can build a custom portfolio, and then choose a number of simulations to run and a number of months to simulate into the future. A link to that final Shiny app is here and here is a snapshot: We will use RMarkdown to build our Shiny application by inserting runtime: shiny into the yaml header. This will alert the server (or our laptop) that ... Read More

Feed: Planet PostgreSQL. In this blog will continue the discussion of parallel query in PostgreSQL. In the previous blog of this series by my colleague we learned about parallel index scans, its design in PostgreSQL and the performance improvement achieved for a few queries on the industrial benchmark of TPC-H. Therein we analysed the performance improvement only for a small factor of 20 (database size was approximately 20GB). But the performance benefits realised by parallel operators aren’t that significant until we leverage them for higher scale factors. Hence, in this blog we will analyse the performance of parallel index scans ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: john-mancini; I’ve been saying for years that data innovations make me feel a bit less center stage than I once did. There are two reasons why. The traditional way of looking at processes and automation through a content management lens is changing. And, the lines have disappeared between structured and unstructured information; content and data.That means a very different role long-term for content people. The importance of content management “Content management” — at least as it’s traditionally defined — is no longer the straw that stirs the process drink ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. “It’s not what you know, it’s who you know.”Sound familiar?Depressingly, we all know it’s true: The boss’s son has a better shot at that corner office than you do. That’s because in business – and in life – relationships matter a whole lot more than individual skills or competencies.Here’s the kicker: Why don’t we think about our data in the same way?Even as the volume of discrete, individual data points increases (and will continue to do so), the real value – the real bottom-line, business-defining ROI – comes from the connections ... Read More