Tag: GitHub

Feed: R-bloggers. Author: Carl Howe. [This article was first published on RStudio 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. This week, I’m taking a break from our regular blog content to write about some of the nitty-gritty data science we do within RStudio. Specifically, I’m going to address a question I was asked soon after joining the blogging team: Which of your blog articles received the most views in the first ... Read More

Feed: Recent Announcements. For retailers specifically, not all SKUs are treated equally. Usually 80% of revenue is driven by 20% of SKUs, and retailers look to optimize forecasting accuracy for those top 20% SKUs. Although you can create a separate forecasting model for the top 20% SKUs, the model’s ability to learn from relevant items outside of the top 20% is limited and accuracy may suffer. Further, retailers may prefer to over-stock certain SKUs or under-stock others, and would prefer to train one model but assess forecasting accuracy for different SKUs at different stocking levels.  To evaluate forecasting accuracy at ... Read More

Feed: Planet PostgreSQL. I was looking for something to add to my Christmas wish list (yes, my parents are retired and they asked for this wish list for the last 3 months) and I remembered I had seen a blog post a few years ago where you could print your own code on clothes.I had a good memory of a particularly nice dress (and I found out later it even had pockets! Yay!). The code I had to google differents key words (including dress and code but not dress code) and I finaly found out this Github repository. The code ... Read More

Feed: Planet PostgreSQL. Among a lot of other changes, the year 2020 brings Online Conferences to us. In the Postgres community too we now record our talks at home and send a video file to be playedto a virtual audience, and sometimes shared later in a platform online. So this year I did participate in Postgres Vision 2020 where I did deliver a talk about The Art of PostgreSQL. This a talk all about the book that I have written and self-publish at The Art of PostgreSQL: learn how to turn thousands of lines of code into simple SQL queries ... Read More

Feed: Recent Announcements. The open-source graph notebook provides users the flexibility to run their queries and visualization from local desktops, EC2, or EMR in addition to using the Neptune Workbench on SageMaker. It is easily installed via the Python Package Installer (PIP). You can connect to graph databases that provide an endpoint that implements an Apache TinkerPop Gremlin Server or the SPARQL 1.1 Protocol. The notebook also gives developers the power to enhance and contribute to the features in the notebook. To get started, visit the project on GitHub. You can also contribute to the graph notebook codebase. For more ... Read More

Feed: R-bloggers. Author: Gary Hutson. I had the pleasure of speaking at the last LondonR event of 2020. What a strange year it has been? But this put the icing on the cake. The premise The premise of my talk was to take a novel Kaggle parasite cell dataset and advocate how this type of classification task could be transported to other areas such as clinical x-ray scanning, diagnostic image condition detection, etc. The live event To view the talk, have a look at the LondonR event below. I was on first and then two very interesting talks followed from ... Read More

Feed: AWS Compute Blog. Author: James Beswick. Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service. It enables you to decouple and scale microservices, distributed systems, and serverless applications. A commonly used feature of Amazon SQS is dead-letter queues. The DLQ (dead-letter queue) is used to store messages that can’t be processed (consumed) successfully. This post describes how to add automated resilience to an existing SQS queue. It monitors the dead-letter queue and moves a message back to the main queue to see if it can be processed again. It also uses a specific algorithm to make ... Read More

Feed: Recent Announcements. Amazon SNS and SQS are foundational services used for synchronous service-to-service communication in serverless and microservices architectures. With pub/sub messaging you can design and build with event-driven architectures or decouple applications to increase performance, reliability and scalability. With the new release of the Toolkit, users can poll, publish messages, purge queues and configure triggers for Lambda functions, all from within the IDE. Check out the AWS Toolkit Docs to learn about the various SQS/SNS features in the IDE. CloudWatch Logs Insights enables you to interactively search and analyze your log data in Amazon CloudWatch Logs. You can ... Read More

Feed: AWS Compute Blog. Author: Benjamin Smith. Today, AWS is introducing Synchronous Express Workflows for AWS Step Functions. This is a new way to run Express Workflows to orchestrate AWS services at high-throughput. Developers have been using asynchronous Express Workflows since December 2019 for workloads that require higher event rates and shorter durations. Customers were looking for ways to receive an immediate response from their Express Workflows without having to write additional code or introduce additional services. What’s new? Synchronous Express Workflows allow developers to quickly receive the workflow response without needing to poll additional services or build a custom ... Read More

Feed: AWS Compute Blog. Author: Benjamin Smith. AWS Step Functions now integrates with Amazon API Gateway to enable backend orchestration with minimal code and built-in error handling. API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. These APIs enable applications to access data, business logic, or functionality from your backend services. Step Functions allows you to build resilient serverless orchestration workflows with AWS services such as AWS Lambda, Amazon SNS, Amazon DynamoDB, and more. AWS Step Functions integrates with a number of services natively. Using Amazon ... Read More