Tag: group

Feed: R-bloggers. Author: Artful Analytics. [This article was first published on Artful Analytics, 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.How I deal with wide datasets when building a predictive modelIntroductionIn this post, I will describe a preprocessing workflow that I usewhenever I have a lot variables (wide data) and need to build apredictive model quickly.The workflow has three stages:Univariate feature selection using the{Information}packageFeature engineering using the{vtreat}packageRemoval of redundant features using the{caret}packageThe overall goal ... Read More

Feed: Planet PostgreSQL. While trying to help Stefan Stefanov with his [pg_spreadsheetml](https://github.com/stefanov-sm/pg_spreadsheetml){:target="_blank"} I came across something that would have been obvious, but not too much to me. The obvious thing is replace is generally faster than regexp_replace. The fact is that, probably due to my heavy usage of Perl and Raku, I tend to use regular expressions even where they are not really required, and that is why I tried to change a nested invocation of replace into one of regexp_replace. The pull request, and in particular the commit did transform something like: replace(replace(replace(s, '&', '&amp;'), '>', '&gt;'), '<', '&lt;'); ... Read More

Feed: Planet PostgreSQL. A couple of weeks ago I got a very nice surprise in the mail, but I was not able to write about it due to my eyes problems and current situation (a very few details can be found here). Anyway, promoting PostgreSQL is important, so here I am to tell you about what I received. Long story short: I received a PostgreSQL 12 celebrative coin! The envelope First of all, I clearly recognized the name on the envelope: Mark Wong is the treasurer of the PostgreSQL US organization, namely PGUS. The content The content of the evenlope ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; Follow @IBMDataIn the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities. It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achieving operational excellence. In less than two years, the airline has quickly moved from AI ... Read More

Feed: AWS Architecture Blog. We recently published a significant update to the AWS Well-Architected Framework, and as part of that update, the Performance Efficiency Pillar whitepaper has been streamlined and improved. The questions in the whitepaper are now better aligned with those in the AWS Well-Architected Tool, making it easy to cross-reference between them when reviewing workloads. With clearer headings and each best practice highlighted, you can quickly find what you need and then dive deep on any topic.We also updated the Performance Efficiency pillar to reflect the evolution of AWS and the best practices we are seeing in the ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Amanda Lowe. Manufacturing industries only realize 20 to 30 percent of the value of their data. By consistently leveraging the value of their data, manufacturing companies could reduce product development costs by up to 50 percent and operating costs by up to 25 percent, while increasing their gross margins by one third[1]. Industrial IoT (IIoT) is a data lever – it brings machines, field assets at the edge, cloud computing, analytics, and people together to improve the performance and productivity of industrial processes. With IIoT, industrial companies can digitize ... Read More

Feed: Actian. Author: Sampa Choudhuri. ETL (extract, transfer, and load) and IPaaS (Integration Platform as a Service) are data integration methods to connect different IT systems and data sources together. While ETL is a set of techniques for moving data, IPaaS is a more holistic set of capabilities for moving and integrating data between IT systems.  IPaaS is often seen as the successor or “next-generation” of ETL tools – optimized to operate in modern cloud IT environments.The digital transformation of business has brought about rapid growth in the number of diverse IT systems a company uses to support its business ... Read More

Feed: All Oracle Press Releases. Press Release Lawrence J. Ellison Institute for Transformative Medicine of USC Explores Breakthrough Tissue "Fingerprints" Concept for Cancer Diagnostics Using Oracle Cloud Technology Tissue “fingerprinting” enables deep-learning algorithm to predict biomarkers, prognosis and theragnosis, set to improve understanding of cancer biology and accelerate clinical workflows, new research finds. Los Angeles and Redwood Shores, CA—Jul 9, 2020 The Lawrence J. Ellison Institute for Transformative Medicine of USC (“Ellison Institute”) and Oracle reveal a promising two-step technique to train a high-confidence predictive algorithm for enhanced cancer diagnostics. The study uses novel tissue “fingerprints”—discriminating microscopic hematoxylin and eosin ... Read More

Feed: SAS Blogs. Author: Melanie Carey. How have healthcare providers and governmental agencies predicted the fast-changing, potentially exponential increase in the need for medical services and equipment through the various stages of the COVID-19 pandemic? Mathematical techniques that attempt to model and understand the likely spread of the disease have been instrumental. The SEIR model is a compartment model that uses a mathematical and statistical approach to model the spread of an infectious disease within a population. It divides the population into four compartments: Susceptible: those who are susceptible to becoming infected. Exposed: those who have been exposed to an ... Read More

Feed: R-bloggers. Author: Data Enthusiast&#039;s Blog. [This article was first published on Data Enthusiast's Blog, 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.IntroductionThere are often situations when you need to perform repetitive plotting tasks. For example, you’d like to plot the same kind of data (e.g. the same economic indicator) for several states, provinces, or cities. Here are some ways you can address this:But what if the data is too complex to fit into ... Read More