Tag: News

Feed: SAS Blogs. Author: Kelly LeSage, MS, RDN, LDN, IFNCP. As a species, our bodies are hard wired to love sweet! This came in handy back when we were roaming the earth trying to stay alive and figuring out what we could eat. Sweet usually meant safe, but unless you came upon a beehive full of honey or found some ripe fruit, sweet is hard to come by out in nature. Fast forward about 12,000 years and now sugar is everywhere and in most of the foods we find in our grocery stores. Even naturally sweet foods like fruit have ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Rayan Potter. In the media and communication industry, writers are frequently confronted with huge volumes of textual material. They are having significant difficulty extracting structured knowledge from these papers, and the text is being underutilized, perhaps leaving critical information unknown. Machine learning techniques can assist, but they require a thorough understanding of the information required and manual annotation of the corpus. Before going further, let's understand what annotation, types, and how it is helping machine learning models to perform accurately. What are annotations? Annotation is the process of labeling data which ... Read More

Feed: R-bloggers. Author: Jason Timm. [This article was first published on Jason Timm, 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. Introduction This post demonstrates a simple procedure for extracting articles from online news sources using the quicknews package. We also demonstrate methods for entity extraction based on a controlled vocabulary (here, the MeSH thesaurus & hierarchically-organized vocabulary), as well as a quick implementation of a doc2vec model. Gather article metadata While primarily ... Read More

Feed: Recent Announcements. AWS Solutions has updated Discovering Hot Topics using Machine Learning, an AWS Solutions Implementation that ingests text, image and video (video: upcoming feature) from online discourse in order to perform topic modeling, sentiment analysis on plain text and text embedded within images as well as detection of unsafe content in images. In this updated version, the solution adds additional capability to ingest RSS news feeds on topics like ‘news, technology, travel, entertainment, business, food, politics, music, sport’ from around ~4,000 websites across the world in different languages. With this release, the solution can now simultaneously process feeds ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. It’s hard to believe we’re already halfway through 2021. It’s been a very eventful Q2 for Neo4j, and I’m excited to share some of the most notable highlights in our world!While we’ve certainly seen significant demand for our favorite topic – graphs – one of the more popular angles has been leveraging graph technology to help enterprises harness the complex skill sets of employees. Many organizations have loads of talent that are not easily identified or categorized, making it a challenge to find the right people for the right task – a problem ... Read More

Feed: Alation. Author: Bill Franks. June 24, 2021 — Originally published by the International Institute for Analytics. Less than two years ago, data literacy was not something I heard many people in the business world talking about. Recently, it is something that comes up in more conversations than not. In this post, I’ll address a few misconceptions about data literacy and then make the case that while it is a challenge, data literacy is actually a great problem to have. Data Literacy Is About More Than Data I will start by making clear that the term “data literacy” is being ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Roberto Quadrini. Epoch0: 1618000449 “Transform limits into constraints to create flexibility” — Roberto Quadrini Goal: Discuss solutions, methodologies, systems, projects to support the Energy Transition towards Energy Convergence Target: Operators, Customers, Regulators, Legislators, Inventors, Academics, Scientists, Enthusiasts Market: #EnergyTransition Power: [mW] TAG: #Epoch #Optimize #PowerMarket #Blockchain #Method #EnergyOptimization #DemandSideResponseAggregator #Electricity #EnergyTransition #DemandSide #ResponseSide #EnergyConvergence #CommoditiesAsAService #EnergyMarket #Supply #Demand #Validator #EU #Response #FlexibilityServices #Ledger #Pool #Consensus #Staking #Mining #EpochONE #MathModel #Algorithm #MachineLearning #DeepLearning #Artificialntelligence #Blockchain #ElectricalFlexibility #Resilience #EnergyCommunity #DemandResponse #GreenDeal #NegaWhEXchange Inspiration: #Aristotle, #GalileoGalilei, #LudwigVonMises #LuigiEinaudi#AbrahamCresques Ledger: Roberto Quadrini [IT] Validator: Stefano ... Read More

Feed: R-bloggers. Author: dtholmes@mail.ubc.ca. [This article was first published on The Lab-R-torian, 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. Introduction This is the first of what I am hoping are a number of posts on different machine learning classifiers. The subject matter is not lab medicine but the methodology applies to any similar project. For example, maybe you want to classify the text of a general internal medicine consult into its subspecialty ... Read More

Feed: Planet PostgreSQL. Last month we released Citus 10 and we’ve received an overwhelming amount of positive feedback on the new columnar compression and single node Citus features, as well as the news that we’ve open sourced the shard rebalancer. The new and exciting Citus 10 features are bringing in lots of new users of Citus open source and the managed Hyperscale (Citus) option in Azure Database for PostgreSQL. And many of you are asking: “How exactly does Citus scale out Postgres?” How does Citus work? As it happens, I recently gave a talk as part of the Vaccination Database ... Read More

Feed: Planet PostgreSQL. A reliable backup tool with an ability to perform a point in time recovery (PITR) is a usual enterprise need. Postgres includes a backup tool called pg_basebackup for full backups. It is great for a database of a few hundreds of GBs in size but currently lacks the support for parallel, incremental and differential backups. This makes it slightly challenging for bigger postgres databases that are Terrabytes in size. pgBackRest is our savior in such a case. While migrating from Oracle to Postgres, users find pgBackRest as an Oracle RMAN equivalent for PostgreSQL with some more additional ... Read More