Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Stephanie Glen. A significant portion of social media content uses Algorithmic Filtering (AF). AF results in issues with fake news, polarizing opinions. A tweak to AF may be the solution for improving the user experience. According to a recent Pew Research Center Study, 53% of U.S. Adults get their news regularly from social media platforms (SMPs) [1]. The news is mixed with content from advertisers, celebrities, friends, and influencers—making it difficult to separate factual from fake and useful from useless. MIT professors Sarah H. Cen and Devavrat Shah offer a simple ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ryan Williamson. We always knew that the evolution of technology would lead us to newer avenues and opportunities in life. But little did we imagine that there would come a day that we would have a technology that would allow us to turn off electric appliances in our house from our office. No more “Did I turn it off” conundrums! That is the magic of the Internet of Things. And here’s an interesting statistic about this rockstar of technology: The number of connected devices in the world was 8.4 billion, i.e., ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kurt A Cagle. Some twenty years ago, as I was starting out my own career as both a technologist and a journalist, I had an opportunity to go to a conference on the intersection of the two in San Francisco. The trip itself was eventful, at least in part because it happened, unbeknownst to planners of the conference itself, to coincide with a parade of nudists and nude bicyclists that happened to pass right in front of the hotel. Needless to say, the parade (if not the parade folk) ended up ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Laura Jean. Data discovery is a term used to depict the interaction for gathering data from different sources by identifying patterns and variances with the assistance of guided advanced analytics and visual route of data, in this way permitting merging of all business data. Studies recommend that 79% of companies’ heads accept that they don't use big data in the correct manner will lose their position and could at last face termination. Besides, 83% of heads have sought after big data ventures to acquire a serious edge. Indeed, the most ideal ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joseph McLean. Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the effect of analytics is only seen if it can bring meaningful change.  As far as eLearning is concerned, you have to ask yourself what you will do with the charts and stats. If you need to learn how to manage big data in eLearning effectively, here are some tips that you can use. Find resources for your key data. According to the reports of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. This blog is the second part in a series. The first part is The Bayesian vs frequentist approaches: implications for machine le... In part one, we summarized that: There are three key points to remember when discussing the frequentist v.s. the Bayesian philosophies. The first, which we already mentioned, Bayesians assign probability to a specific outcome. Secondly, Bayesian inference yields probability distributions while frequentist inference focusses on point estimates. Finally, in Bayesian statistics, parameters are assigned a probability whereas in the frequentist approach, the parameters are fixed. Thus, in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Indhu. Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in connectors. Benefits of Data Integration Gives a 360-degree view of the organization: This allows the management to make data-driven decisions that can lead to an increase in the organizations’ effectiveness and profitability. Utilization of all organization data: Most organizations are not able to utilize all ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Karin Golde. Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping integral employees like claims adjusters do their jobs better, faster and easier.   Data science is currently being used to uncover insights that claims representatives wouldn’t have found otherwise, which can be extremely valuable. Data science steps in to identify patterns within massive amounts of data that are too large for humans ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Alaa Mahjoub. In many cases, for an enterprise to build its digital business technology platform, it must modernize its traditional data and analytics architecture. A modern data and analytics platform should be built on a services-based principles and architecture. Introduction part 1, provided a conceptual-level reference architecture of a traditional Data and Analytics (D&A) platform. This part, provide a conceptual-level reference architecture of a modern D&A platform. Parts 3 and 4, will explain how these two reference architectures can be used to modernize an existing traditional D&A platform. This will be ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Paul Speciale. The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at Gartner, and nearly 70% of organizations using cloud services today plan to increase their cloud spending as a result. For many organizations, the switch was made quickly just to get something in place – with some taking almost a lift-and-shift approach to the cloud. That will work for the short-term, but now it’s ... Read More