Tag: step

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, 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. Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. In a previous article we illustrated how to calculate xgboost model predictions in-database. This was referenced and incorporated into tidypredict. After learning more about what the tidypredict team is up to, I discovered another tidyverse package called modeldb ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . The past couple of months have been nothing short of fantastic for the Power BI team. Even with the holiday season fast approaching, our engineers continued to work hard and deliver some of most anticipated features across Power BI service and mobile. In case you missed it, here’s a quick recap all the announcements we made in the months of October and November: Refresh your Power BI dataset using Power Automate We released a new Refresh a dataset action to the Power BI connector for Power Automate. You can now trigger refreshes for ... Read More

Feed: AWS Compute Blog. Author: Benjamin Smith. Today, AWS is introducing Express Workflows for AWS Step Functions. This is a new workflow type to orchestrate AWS services at a higher-throughput than existing workflows.Developers have been using AWS Step Functions since December 2016 to assemble long running workflows to orchestrate AWS Lambda Functions and other serverless services. Customers were looking for better ways to optimize for workloads that require higher event rates and shorter durations. The new AWS Step Functions Express Workflows type uses fast, in-memory processing for high-event-rate workloads of up to 100,000 state transitions per second, for a total ... Read More

Feed: Planet MySQL; Author: The Workbench Team; Starting with version 8.0.18 the MySQL Workbench source package finally ships also all our GPL unit and integration tests, which we are using internally to control code quality. For that we had first to replace our old, outdated testing framework by something new and more appropriate. We evaluated quite a few C++ testing frameworks but found them either not to be sufficient or difficult to use. Instead we had something in mind that comes close to the Jasmine framework which is widely used among JS developers. The way it hides all the boring ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. We’re thrilled to be introducing a new member of our team. Mark Padgham has joined rOpenSci as a Software Research Scientist working full-time from Münster, Germany. Mark will play a key role in research and development of statistical software standards and expanding our efforts in software peer review, enabled by new funding from the Sloan Foundation. He will work closely with Noam Ross, rOpenSci Leadership team member, and Scientist at EcoHealth Alliance and Karthik Ram, rOpenSci Project Lead. Mark has made many contributions to rOpenSci prior to joining the team ... Read More

Feed: Recent Announcements. AWS Step Functions allows developers to assemble AWS services, such as Lambda functions, into a serverless workflow in minutes, without writing code. Step Functions ensures that the steps in the serverless workflow are followed reliably, that information is passed between stages, and that errors are handled automatically. Developers productively use Standard Workflows today to manage long-running workloads such as machine learning model training, report generation, IT automation, and order processing. Express Workflows can support event rates greater than 100,000 per second, making them suitable for event processing workloads. At pricing as low as $1.00 per million requests ... Read More

Feed: AWS Compute Blog. Author: angelhua. By Fred Wurden, GM Enterprise and BenchmarkingAWS has spent the last 11 years working with you to migrate and run your Windows workloads on AWS, and gained valuable experience along the way. We’ve taken this learning and evolved our products, services, and programs to make AWS the best place to run Windows workloads. We are excited to announce the new Migration Acceleration Program for Windows (MAP for Windows), which launches in Q1 2020. MAP for Windows provides prescriptive guidance, specialist consulting support, tooling, training, and services credits to help reduce the risk and cost ... Read More

Feed: AWS Compute Blog. Author: George Mao. The AWS Serverless platform allows you to build applications that automatically scale in response to demand. During periods of high volume, Amazon API Gateway and AWS Lambda scale automatically in response to incoming load.Often developers must access data stored in relational databases from Lambda functions. But it can be challenging to ensure that your Lambda invocations do not overload your database with too many connections. The number of maximum concurrent connections for a relational database depends on how it is sized. This is because each connection consumes memory and CPU resources on the database server. Lambda functions can scale ... Read More

Feed: Recent Announcements. Training ML models is a multi-step, complex task that is iterative and time-consuming. During training, ML models learn patterns in the training data to make accurate predictions. This learning occurs through multiple iterations of the data and adjusting the parameter values for each iteration. It is challenging to ensure that a model is progressively learning the correct values of the different parameters. Additionally, it is not easy to analyze and debug model characteristics without building additional tools, making the entire process cumbersome. Amazon SageMaker Debugger makes it much easier to easily analyze and debug model characteristics during ... Read More

Feed: Recent Announcements. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers.   Amazon A2I makes it easy to build and manage human reviews for machine learning applications. Amazon A2I provides built-in ... Read More