Tag: datasets

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: akash. Increased consumption of data, more powerful computing, and the strong inclination towards data-driven decisions in business have made data science a crucial part of today's business environment. According to IBM, there is a huge demand for data scientists and data analysts in the present time. Python and R are the two most popular tools for programming for data science. Python and R both are open-source and free and were developed back in the early 1990s. For practitioners of machine learning and data science, these two tools are absolutely essential. While ... Read More

Feed: R-bloggers. Author: Thomas Brand. We gather macroeconomic data for France, Germany, Italy, Spain & the Euro area, which can be used for various purposes, especially for the estimation and the calibration of general equilibrium models. This database is built and automatically updated through DBnomics using the rdbnomics package. All the code is written in R, thanks to the @Rct16 and @Rstu16. First of all, we gather the following databases: The database based on @Faga01 and used in the bayesian estimation of the DSGE model developped in @Smet03 for the Euro area : https://macro.cepremap.fr/article/2015-10/sw03-data/ The financial database similar to @Chri14a, but for ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Power BI Premium is built to meet the most demanding compliance, scale, and security requirements for enabling a data culture within your organization. Our recent announcements for large model support and XMLA endpoints enable fast query performance and solutions for your largest enterprise datasets; further empowering your teams to easily leverage large single source of truth datasets for intelligent decision-making. In this new environment, securing your datasets is not only prudent, but critical to successfully standardize BI within your enterprise. We‘re excited to announce that object level security (OLS) ... Read More

Feed: AWS Public Sector Blog. Author: Ben Butler. Cloud Innovation Centers (CICs) powered by Amazon Web Services (AWS) aim to empower public sector organizations to quickly create and test new ideas using Amazon’s innovation methodology. In the second half of 2020, all those who participate in the CIC program, from students and researchers to the technology teams from AWS, worked on wide-ranging societal problems. Their focus was on improving education with virtual computer labs, working on climate change initiatives, improving economic and healthcare research, and supporting at-risk high school students. What were they up to at the end of 2020? Connecting ... Read More

Feed: Actian. Author: Lewis Carr. And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice?  I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that while all of them meet certain critical needs, none of them meet the needs of business end-users without significant support from IT. What we in fact need is a platform ... Read More

Feed: R-bloggers. Author: Rstats on Jakub Nowosad's website. TLTR: Quantifing changes of spatial patterns requires two datasets for the same variable in the same area. Both datasets are divided into many sub-areas, and spatial signatures are derived for each sub-area for each dataset. Next, distances for each pair of areas are calculated. Sub-areas with the largest distances represent the largest change. To reproduce the calculations in the following post, you need to download all of relevant datasets using the code below: library(osfr) dir.create("data") osf_retrieve_node("xykzv") %>% osf_ls_files(n_max = Inf) %>% osf_download(path = "data", conflicts = "overwrite") You should also attach the ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, 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. Two hundred thirty new packages made it to CRAN in January. Here are my “Top 40” selections in ten categories: Data, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data igoR v0.1.1: Provides tools to extract information from the Intergovernmental Organizations (‘IGO’) Database , version 3, provided by ... Read More

Feed: R-bloggers. Author: Benjamin Smith. [This article was first published on r – bensstats, 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. Its been a while since I last posted anything on my blog, so I thought I would share an update. Recently, I had the opportunity to present for my midterm examination a deep learning framework of my choosing. I chose to give a talk on (you guessed it!) convolutional neural networks ... Read More