Feed: Featured Blog Posts - Data Science Central. Author: Ronald van Loon. As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data-led transformation, but this transformation has been the talk of the town for a long time now.  Not only are organizations geared toward achieving a better analytics setup, but they are also on the lookout for a more efficient data policy in the process. With many cloud service providers around us offering AI as a service, companies can tap ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Adetayo Kolade. Power BI provides slicers for a single column, but there are scenarios where it could be useful to consolidate alternative filters for multiple columns in a single slicer. Technically, this is not possible in Power BI through the standard visualizations, but you can use a particular data modeling technique to obtain the desired result.Consider the case of a Customer table with a geographical hierarchy with Continent, Country, and State. The requirement is to enable a filter over California (State), France (Country), or Asia (Continent) using a single slicer, as shown in the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Olha Zhydik. One of the things that excite the most about the predictive analytics of today is how quickly and bluntly it surpasses the existing benchmarks. Moreover, it penetrates the industries and activities where human creativity has traditionally dominated, adding a futuristic touch to the music, fine arts, fashion or architecture. Following the popular trend, we decided to explore the current capabilities of neural networks and find out if they can be of some real value for the fashion industry. Short time, big results In 2015, Google’s research team developed the DeepDream ... Read More

Feed: MemSQL Blog. Author: Eric Hanson. The limitations of a typical, traditional relational database management system (RDBMS) have forced all sorts of compromises on data processing systems: from limitations on database size, to the separation of transaction processing from analytics. One such compromise has been the “sharding” of various customer accounts into separate database instances, partly so each customer could fit on a single computer server – but, in a typical power law, or Zipf, distribution, the larger database don’t fit. In response, database administrators have had to implement semi-custom sharding schemes. Here, we describe these schemes, discuss their limitations, ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. I have been recently confronted to the issue of finding similarities among time-series and thoughabout using k-means to cluster them. To illustrate the method, I’ll be using data from thePenn World Tables, readily available in R (inside the {pwt9} package): library(tidyverse) library(lubridate) library(pwt9) library(brotools) First, of all, let’s only select the needed columns: pwt % select(country, year, avh) avh contains the average worked hours for a given country and year. The data looks like this: head(pwt) ## country year avh ## ABW-1950 Aruba 1950 NA ## ABW-1951 Aruba 1951 NA ## ABW-1952 Aruba ... Read More

Feed: R-bloggers. Author: An Accounting and Data Science Nerd's Corner. Last week, we started a new course titled “Statistical Programming and OpenScience Methods”. It is being offered under the research program ofTRR 266 “Accounting for Transparency”and enables students to conduct data-based research so that others can contributeand collaborate. This involves making research data and methods FAIR(findable, accessible, interoperable and reusable) and results reproducible.All the materials of the course areavailable on GitHub together withsome notes in the README on how to use them for self-guided learning. The course is over-booked so running a normal introduction round was notfeasible. Yet, I was ... Read More

Feed: R-bloggers. Author: Neonira. [This article was first published on NEONIRA, 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. Package wyz.code.offensiveProgramming version 1.1.12 is available on CRAN. If you are interested in reducing time and efforts to implement and debug R code, to generate R documentation, to generate test code, then you may consider using this package. It provides tools to manage semantic naming of function parameter arguments function return type functional test ... Read More

Feed: Planet PostgreSQL. Author: Regina Obe  2019/10/13  in news ( release, , 3.0.0rc2 ) The PostGIS development team is pleased to release PostGIS 3.0.0rc2. This will be the final RC before release. This release works with PostgreSQL 9.5-12 and GEOS >= 3.6 Best served with PostgreSQL 12 , GEOS 3.8.0 and pgRouting 3.0.0-alpha. 3.0.0rc2 View all closed tickets for 3.0.0. Main changes since PostGIS 3.0.0rc1 release are as follows: 4534, Fix leak in lwcurvepolyfromwkb_state (Raúl Marín) 4536, Fix leak in lwcollectionfromwkb_state (Raúl Marín) 4537, Fix leak in WKT collection parser (Raúl Marín) 4535, WKB: Avoid buffer overflow (Raúl Marín) Note ... Read More

Feed: Planet PostgreSQL. It is well known that database design should be as simple as possible, and follow the normalization process. Except in some cases, sometimes, for scalability purposes. Partitioning might be used to help deal with large amount of data for instance. But what is a large amount of data? Do you need to pay attention to those scalability trade-offs now, or can you wait until later? How far can you go with a naive schema? To answer those questions, it might be best to estimate the evolution of the size of your database in the following months. Here’s ... 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. To subscribe, follow this link.   Featured Resources and Technical Contributions  40+ Modern Tutorials Covering All Aspects of Machine Learning New Notebook: Deep Learning and Computer Vision with CNNs (Convolutional Neural Networks) Bayesian Machine Learning - Part 7 New Notebook: Getting Started with TensorFlow 2.0 Difference Between Correlation and Regression in One Picture Implementing Linear Regression with Golang Understanding Dataflow graphs in TensorFlow Creating a ... Read More