Tag: university

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred back then as Shepard's method or inverse distance weighting, and used for multivariate interpolation on ... Read More

Feed: AWS Big Data Blog. The machine learning (ML) lifecycle consists of several key phases: data collection, data preparation, feature engineering, model training, model evaluation, and model deployment. The data preparation and feature engineering phases ensure an ML model is given high-quality data that is relevant to the model’s purpose. Because most raw datasets require multiple cleaning steps (such as addressing missing values and imbalanced data) and numerous data transformations to produce useful features ready for model training, these phases are often considered the most time-consuming in the ML lifecycle. Additionally, producing well-prepared training datasets has typically required extensive knowledge ... Read More

Feed: Events. Author: . Improving education in the midst of a pandemic is the challenge of our time. To help with this, many institutions are turning to cloud tools to rapidly innovate on behalf of students. Some of the education leaders who have taken on this work over the past year will join us to share their insights and lessons learned as part of the Google Cloud Public Sector Summit, a virtual event on December 8-9.There are four main areas where education organizations have been driving improvements, and we expect to see even more momentum in these in 2021:Enabling virtual ... Read More

Feed: AWS Big Data Blog. Many organizations have an Apache Hive metastore that stores the schemas for their data lake. You can use Amazon Athena due to its serverless nature; Athena makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. You may also want to reliably query the rich datasets in the lake, with their schemas hosted in an external Hive metastore. In response to customers’ requests, AWS announced Athena’s support for Hive metastore in early 2020. This extends the ability in Athena to query external data stores, with a combined benefit of better performance and ... Read More

Feed: SingleStore Blog – MemSQL is Now SingleStore. Author: Domenic Ravita. Business is about serving the needs of customers. But customer expectations are changing quickly, and most organizations are not truly aware of how fast that’s happening. Most businesses are moving in slow motion relative to their customers. That means they miss out on opportunities to make decisions about and act on the moments that matter. In the past, lag time was accepted. Nielsen called people on the phone to understand their TV viewing habits. Broadcast TV networks set advertising rates and advertisers gauged viewership based on Nielsen ratings. It ... Read More

Feed: AWS Big Data Blog. Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS in a cost-effective manner. Amazon EMR Notebooks is a managed environment based on Jupyter Notebook that allows data scientists, analysts, and developers to prepare and visualize data, collaborate with peers, build applications, and perform interactive analysis using EMR clusters. EMR notebook APIs are available on Amazon EMR release version 5.18.0 or later and can be used to run EMR notebooks via a script or command line. The ability to start, stop, list, and describe EMR ... Read More

Feed: AWS Public Sector Blog. Author: Ray Rogers. Since universities typically face reliable bursts of traffic, such as on admissions day, they are not often concerned with the ability to scale infinitely—a key reason for going serverless. By doing so with Amazon Web Services (AWS), the University of York now has the ability to scale down to zero, which helps the university better manage applications, reduce costs, and increase agility. Saving costs while going serverless The University of York’s journey to the cloud began in 2018. David Thompson, head of software development at York, said, “We were really inspired after ... Read More

Feed: Planet PostgreSQL. Date: 23.11.2020 Tags:   postgresql    pspg    plpgsql_check    Category:   Interviews    Interviewed by: Andreas Scherbaum PostgreSQL is the World’s most advanced Open Source Relational Database. The interview series “PostgreSQL Person of the Week” presents the people who make the project what it is today. Read all interviews here. Please tell us about yourself, and where you are from. I am from the Czech Republic, and live in my home village in Central Czech. I am an independent developer, consultant and lecturer. My work is 100% related to Postgres - training, solving customer performance issues, ... Read More

Feed: R-bloggers. Author: R/exams. [This article was first published on R/exams, 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. Generating, importing, and customizing online tests for TestVision with R/exams. Motivation This tutorial illustrates how to use R/exams for creating online exams for TestVision. Testvision is a Dutch commercial online testing company which administers online exams for many universities in the Netherlands. Until now the import of external material from R/exams into TestVision was ... Read More

Feed: R-bloggers. Author: An Accounting and Data Science Nerd's Corner. The idea OK. We are at home. Again. Given that large parts of Europe and the U.S. are currently experiencing a second large wave of Covid-19 cases and that most European jurisdictions have reacted with more or less rigorous lockdown regulations, one wonders about the effects of these regulations on social distancing compared to the one in March/April. In a recent TRR 266 workshop on data visualization, we (Astrid and Joachim) used this setting to discuss a workflow on how to let data speak graphically. This blog post, which is ... Read More