Tag: python

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. (Qubiter Logo) Check out the following paper unveiled last night in ArXiv: An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs, by Robert S. Smith, Eric C. Peterson, Mark G. Skilbeck, Erik J. Davis, https://arxiv.org/abs/2003.13961 This is an exciting development for me since I have been a proponent and practitioner of the art of quantum compilers for a long time. The new "optimized quantum compiler" by Rigetti is a computer program that tackles the problem of searching for the "shortest" quantum circuit. Note, however, that it comes with some ... Read More

Feed: R-bloggers. Author: Kelly O'Briant. [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. One of the biggest frustrations for a data scientist, whether your primary language is R or Python, is to have your hard work go underutilized. A stream of disposable reports, emails, and presentations that get viewed once and cast aside are not the ideal recipe for how to make an impact. To ... Read More

Feed: R-bloggers. Author: Przemyslaw Biecek. Remote teaching at my university encouraged me to prepare some video materials for Explanatory Model Analysis techniques, i.e. techniques of exploration, explanation and visualisation of predictive models. The pyramid for Explanatory Model Analysis. Left part is focused on a single observation (instance-level or local explanations). Right part is focused on the whole data set (called dataset level or global explanations). In the first row are raw model predictions and model statistics. The second row is related to the analysis of model parts. The third row describes the profile of model behaviour depending on the values ... Read More

Feed: SAS Blogs. Author: Lucas de Paula. Whether you like it or not, Microsoft Excel is still a big hit in the data analysis world. From small to big customers, we still see fit for daily routines such as filtering, generating plots, calculating items on ad-hoc analysis or even running statistical models. Whenever I talk to customers, there is always someone who will either ask: Can this be exported to excel or can we import data from excel?. Recently, other questions started to come up more often: Can we run Python within SAS? How do I allow my team to ... Read More

Feed: AWS Compute Blog. Author: Julian Wood. This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the nine serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the Introduction post for a table of contents and explaining the example application.Question OPS1: How do you evaluate your serverless application’s health? Evaluating your metrics, distributed tracing, and logging gives you insight into business and operational events, and helps you understand which services should be optimized to improve ... Read More

Feed: AWS Compute Blog. Author: Julian Wood. Customers building production applications in the cloud are looking to build and operate their applications following best practices. Best practices are useful throughout the software development lifecycle and help to answer the question “am I well-architected?”Serverless technologies provide a solid foundation for building well-architected applications with a goal to reduce and minimize the impact of issues that can happen. What does it mean to be “well architected”? In , AWS released the AWS Well-Architected Framework.  It’s a structured way to compare applications against AWS architectural best practices with advice on how to improve. This ... Read More

Feed: Blog – Hazelcast. Author: Vladimir Schreiner. Tech conferences and meetups have been canceled or postponed across the world. To make the situation a little bit more pleasing for everybody who misses them, Hazelcast has started a series of virtual tech meetups. Please join us on Thursdays, starting April 2nd. Always at 3:30pm CET/ 7:30am PDT / 10:30am EDT / 2:30pm GMT. The list of topics: Streaming in the world of legacy applications (Vladimir Schreiner) Date: Thursday, April 2, 2020 Join: https://hazelcast.com/resources/tech-talk-streaming-in-the-world-of-legacy-applications/ A practical introduction to CDC (Change Data Capture). Architecture, trade-offs, tooling, and demos. There are common themes when ... Read More

Feed: R-bloggers. Author: Nagdev. [This article was first published on R – Hi! I am Nagdev, 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. In last few years, AutoML or automated machine learning as become widely popular among data science community. Big tech giants like Google, Amazon and Microsoft have started offering AutoML tools. There is still a split among data scientists when it comes to AutoML. Some fear that it is going ... Read More

Feed: R-bloggers. Author: Nagdev. [This article was first published on R – Hi! I am Nagdev, 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. As a data scientist, I always seek to learn about out new tools and techniques. Although research papers are a great resource to learn, they are mostly either theoretical or lack in hands on explanation. Blogs are a great way to learn if you like me. They are concise, ... Read More

Feed: R-bloggers. Author: Sebastian Heinz. [This article was first published on r-bloggers | STATWORX, 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. Recently, some colleagues and I attended the 2-day COVID-19 hackathon #wirvsvirus, organized by the German government. Thereby, we’ve developed a great application for simulating COVID-19 curves based on estimations of governmental measure effectiveness (FlatCurver). As there are many COVID-related dashboards and visualizations out there, I thought that gathering the underlying data ... Read More