Tag: data science

Feed: Featured Blog Posts - Data Science Central. Author: Kurt Cagle. Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world. From the Editor's Desk American Thanksgiving will be ... weird this week. The Covid-19 pandemic has entered its second wave with a vengeance, as worldwide there will be 60 million cases and 1.5 million deaths, with a quarter-million of those deaths in the United States. Families ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred back then as Shepard's method or inverse distance weighting, and used for multivariate interpolation on ... Read More

Feed: Blog – ArangoDB. Author: Christopher Woodward. This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the ArangoDB NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: Briefly introduce NetworkXExplore the IMDB user rating datasetShowcase the ArangoDB integration of NetworkXExplore the centrality measures of the data using NetworkXStore the experiment with arangopipe Going forward, the ArangoML Series will no longer be numbered. Parts 1-4 deal with the same housing dataset and focus on introducing some core machine learning concepts. We ... Read More

Feed: Planet PostgreSQL. At most of the places I've worked, the primary language used was not what I gravitated to naturally. If you're going to ask for a language of choice personally, it's python. I appreciate the explicit nature, that it's often pseudocode that can execute and it has a rich ecosystem of libraries (though that’s most languages these days). But as much as anything I latched onto Django in its early days. If you're not familiar with Django it's a popular framework for web apps written in Python. What I loved about it in particular was one of its ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. More people than ever have important data in a graph. So how can they view that data in their favorite BI tools?The Neo4j BI Connector delivers direct access to Neo4j graph data from business intelligence (BI) tools such as Tableau, Looker, TIBCO Spotfire Server and Microstrategy. It’s the first enterprise-ready, supported product to deliver connected data results to BI users avoiding coding, custom scripting and ungoverned access.In this second blog of our five-part series on the BI Connector, we cover how it can assist you in rooting out money laundering, aiding in ... Read More

Feed: Teradata Blog. For the second session of the Oxford Saïd Customer Executive Education partnered by Teradata, we were fortunate to have Professor Pinar Ozcan as our guest speaker. Ozcan is Professor of Entrepreneurship and Innovation at Oxford Saïd School of Business and she also serves as the Director of the Oxford Future of Finance and Technology (Fintech) Initiative. The topic for this workshop was Disruption, Fintech and the Rise of Platforms so Professor Ozcan was the perfect choice to lead as her current research includes an examination of industry disruption as a result of new regulation, the entry of ... Read More

Feed: R-bloggers. Author: jmount. [This article was first published on R – Win Vector LLC, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. I’ve been reading the interesting and soul-searching (from a data scientist perspective) book from Cathy O’Neil titled “Weapons of Math Destruction”, or WMD as used in the book.  The book provides several real-world examples of how Big Data and Data Science – when not properly structured – can lead to ethically-wrong unintended consequences.  Chapter 3 “Arms Race: Going to College” describes how the college ranking system developed by “US News & World Report” in 1983 has created its own self-fulfilling, mis-aligned ecosystem. Because of the influence the “US News ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: AI. Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile devices faces various challenges, including computational power, energy, latency, low memory, and privacy risks. In this article, we investigate the current state of implementing machine learning for mobile applications, providing an overview of five architectures commonly used for this purpose and the ways in which they address the given challenges. We also discuss their pros and cons, providing recommendations for each architecture. Additionally, we review recent studies, popular toolkits, cloud ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Introduction and Motivation It is becoming increasingly common for organizations to collect very large amounts of data over time, and to need to detect unusual or anomalous time series. For example, Yahoo has banks of mail servers that are monitored over time. Many measurements on servers/IoT device performances are collected every hour for each of thousands of servers in order to identify servers/devices that are behaving unusually. Python library tsfeature helps to compute a vector of features on each time series, measuring different characteristic-features of the series. The features may include lag correlation, the strength ... Read More