Tag: object

Feed: AWS Compute Blog. Author: Julian Wood. Amazon API Gateway HTTP APIs enable you to create RESTful APIs with lower latency and lower cost than API Gateway REST APIs.The API Gateway team is continuing work to improve and migrate popular REST API features to HTTP APIs. We are adding two of the most requested features, AWS Identity and Access Management (IAM) authorizers and AWS Lambda authorizers. HTTP APIs already support JWT authorizers as a part of OpenID Connect (OIDC) and OAuth 2.0 frameworks. For more information, see “Simple HTTP API with JWT Authorizer.” IAM authorization AWS IAM roles and policies offer flexible, robust, and ... Read More

Feed: Big Data Made Simple. Author: Sharafudheen Mangalad. If you have this doubt whether Java can be used for Artificial Intelligence (AI), then, many brilliant Java developers in one voice will say a “YES”. These developers also have the opinion that Java is one of the best programming languages after Python for developing Artificial Intelligence solutions. One thing you need to realise is, there is no individual language only to develop Artificial Intelligence solutions. In spite of that, the existing tools help developers achieve great results when developing AI Solutions.Today, you’ll see the prevalence of Artificial Intelligence in most of ... Read More

Feed: CronJ. Author: Nupur Pal; Did you know according to the Economic Times, the intelligent video analytics market has increased from Rs 8,200 crore to Rs.11, 000 crore in the year 2017 to 2018?And what’s more it is said to reach Rs 20,000 crore by 2020! Isn’t that amazing?But why is this market expanding so quickly?Needless to say that video analytics provides you with the most advanced security facilities. Furthermore, it also provides you with the facilities like process optimization and quality checks!So without wasting any more time let’s check out what this thing is all about!What Is Intelligent Video ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Scylla known for its ultra-low latency and extremely high throughput is coded using C++ acts as a replacement to Apache Cassandra and Amazon DynamoDB. With some of the unique advantages of C++ as a programming language, (including memory management, performance characteristics, and systems programming), it definitely serves as one of the most efficient tools for developing fast scalable Data Science and Big Data libraries. Further, Julia (a compiled and interactive language – ... Read More

Feed: R-bloggers. Author: George Pipis. [This article was first published on R – Predictive Hacks, 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. Need to Connect R with SQL It is common for Data Analysts/Scientists to connect R with SQL. For that reason, there exist many different packages designed for different Databases like PostgreSQL, MySQL etc. My suggestion is to work with the DBI package which is compatible with almost all the Databases ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; Once the packer-provisioner-puppet-bolt binary has been unpacked, it should be moved to a path on the system where Packer can find it, as covered here.Puppet Bolt planEnsure that the latest version of Puppet Bolt is installed before getting started. In this post we’ll be using Puppet Bolt to install NGINX as a simple example of the integration between Packer and Bolt. The Bolt YAML plan below installs the epel-release repository, NGINX, and enables the service to start at boot.parameters: targets: type: TargetSpec steps: - command: yum -y install epel-release targets: $targets description: "Install ... Read More

Feed: Microsoft Azure Blog. Author: John 'JG' Chirapurath. Mixed reality blends our physical and digital worlds to extend computing beyond the screen and fundamentally change how we work, learn, and play. Mixed Reality has evolved from promising technology to a thriving ecosystem of solutions that are having significant and quantifiable impact today. It plays a significant role in how we manufacture goods, how we learn and retain information, and how we care for ourselves and others.  Our mixed reality services, which leverage the scalability, reliability, and security of Azure, coupled with our industry leading HoloLens 2 headset, serve as the ... Read More

Feed: R-bloggers. Author: JottR on R. [This article was first published on JottR on R, 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. Parallel ‘Digital Rain’ by Jahobr After two-and-a-half months, future 1.19.1 is now on CRAN. As usual, there are some bug fixes and minor improvements here and there (NEWS), including things needed by the next version of furrr. For those of you who use Slurm or LSF/OpenLava as a scheduler on ... Read More

Feed: R-bloggers. Author: r on Tony ElHabr. [This article was first published on r on Tony ElHabr, 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. Intro There’s never been a better time to be involved in sports analytics. There is a wealth of open-sourced data and code (not to mention well-researched and public analysis) to digest and use. Both people working for teams and people just doing at as a hobby are publishing ... Read More

Feed: R-bloggers. Author: rstats | Julia Silge. [This article was first published on rstats | Julia Silge, 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. Lately I’ve been publishingscreencasts demonstrating how to use thetidymodels framework, from starting out with first modeling steps to tuning more complex models. Today’s screencast walks through a detailed model analysis from beginning to end, with important feature engineering steps and several model types, using this week’s#TidyTuesday dataset on ... Read More