Tag: datasets

Feed: R-bloggers. Author: Dr. Shirin Glander. Since I migrated my blog from Github Pages to blogdown and Netlify, I wanted to start migrating (most of) my old posts too – and use that opportunity to update them and make sure the code still works. Here I am updating my very first machine learning post from 27 Nov 2016: Can we predict flu deaths with Machine Learning and R?. Changes are marked as bold comments. The main changes I made are: using the tidyverse more consistently throughout the analysis focusing on comparing multiple imputations from the mice package, rather than comparing ... Read More

Feed: SAS Blogs. Author: Charu Shankar. Ever wondered what unique quality sets you apart as a SAS user? I have. As I wandered around SAS Global Forum in Denver and met various SAS users, I was struck by the many endearing qualities of SAS users. Friendly and helpful immediately came to mind, and then: Curious Creative Empathic Intelligent A Team player A Problem solver A Challenge lover A knowledge sharer These are just some of the qualities that stood out I met user after user. During SAS Global Forum 2018, I sat down with four SAS users to get their take ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. As the Internet of Things (IoT) continues to steer operations in the 21st century, numerous challenges are coming to light. While the IoT still has the potential to transform business for owners, employees and customers alike, those who already embrace this next-gen network still have some work to do. Not only are they trying to make the most of IoT integration to benefit their own company, but they’re also treading new ground and serving as role models for those who have yet to take the plunge. 1 ... Read More

Feed: Planet MySQL; Author: Michael McLaughlin; I’ve started building the new image for the database courses. This one needs to include Oracle, MySQL, Cassandra, Hive, and MongoDB databases; and include examples for C, C++, Java, Perl, PHP, Python, R programming languages. Installing R was a surprise when I saw how many packages there are for it. It’s a standard yum command from the repository, but it will install 256 packages. The command is: yum install -y R Once you install it, you simply start the R interpreter, which is part of the Comprehensive R Archive Network (CRAN). Any installation of ... Read More

Feed: AWS Big Data Blog. AWS Glue provides enhanced support for working with datasets that are organized into Hive-style partitions. AWS Glue crawlers automatically identify partitions in your Amazon S3 data. The AWS Glue ETL (extract, transform, and load) library natively supports partitions when you work with DynamicFrames. DynamicFrames represent a distributed collection of data without requiring you to specify a schema. You can now push down predicates when creating DynamicFrames to filter out partitions and avoid costly calls to S3. We have also added support for writing DynamicFrames directly into partitioned directories without converting them to Apache Spark DataFrames.Partitioning ... Read More

Feed: R-bloggers. Author: ntguardian. I recently saw a Reddit thread in r/PoliticalDiscussion asking the question “If the economy is still booming 2020, how should the Democratic address this?” This gets to an issue that’s been on my mind since at least 2016, maybe even 2014: when will the current period of economic growth end? For some context, the Great Recession, as economists colloquially call the recession beginning in 2007 and punctuated with the 2008 financial crisis, ended officially in June 2009; it was then the economy resumed growth. As of this writing, that was about eight years, ten months ago ... Read More

Feed: R-bloggers. Author: John Mount. I have a couple of public appearances coming up soon. The East Bay R Language Beginners Group: Preparing Datasets – The Ugly Truth & Some Solutions, Tuesday, May 1, 2018 at Robert Half Technologies, 1999 Harrison Street, Oakland, CA, 94612. Official May 2018 BARUG Meeting: rquery: a Query Generator for Working With SQL Data, Tuesday, May 8, 2018 at Intuit, Building 202600 Marine Way · Mountain View, CA. vtreat Preparing Datasets – The Ugly Truth & Some Solutions is a great idea of Jim Porzak’s. Jim will speak on problems one is likely to encounter ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Joe Depeau, Senior Pre-Sales Consultant, Neo4j | April 19, 2018  A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use cases like anti-terrorism, border control, and social services.The main way practitioners are doing this is leveraging the POLE (Person, Object, Location, Event) data model for working with crime data.It turns out that the POLE data model is a great fit ... Read More

Feed: R-bloggers. Author: business-science.io - Articles. Time series prediction (forecasting) has experienced dramatic improvements in predictive accuracy as a result of the data science machine learning and deep learning evolution. As these ML/DL tools have evolved, businesses and financial institutions are now able to forecast better by applying these new technologies to solve old problems. In this article, we showcase the use of a special type of Deep Learning model called an LSTM (Long Short-Term Memory), which is useful for problems involving sequences with autocorrelation. We analyze a famous historical data set called “sunspots” (a sunspot is a solar phenomenon ... Read More

Feed: R-bloggers. Author: Dr. Shirin Glander. In our next MünsteR R-user group meetup on Monday, June 11th, 2018 Thomas Kluth and Thorben Jensen will give a talk titled Look, something shiny: How to use R Shiny to make Münster traffic data accessible. You can RSVP here: http://meetu.ps/e/F7zDN/w54bW/f About a year ago, we stumbled upon rich datasets on traffic dynamics of Münster: count data of bikes, cars, and bus passengers of high resolution. Since that day we have been crunching, modeling, and visualizing it. To involve local stakeholders and NGOs (e.g., the IG Fahrradstadt Münster), we found the R Shiny framework ... Read More