Tag: data analytics

Feed: Recent Announcements. We’re excited to announce the launch of the new AWS Game Tech Starter Pack. This digital training curriculum covers key features of Amazon GameLift and Amazon Lumberyard, as well as how AWS analytics solutions can provide insights into solving real-world problems with games. The curriculum features four courses: Amazon GameLift Primer, Amazon Lumberyard Primer, Data Analytics Fundamentals, and Why Analytics for Games. They feature a combined eight hours of digital video content intended for back-end game developers, operation engineers, architects, designers, producers, artists, data scientists, analysts, and business leaders ... Read More

Feed: R-bloggers. Author: John. Statisticians often come across outliers when working with datasets and it is important to deal with them because of how significantly they can distort a statistical model. Your dataset may havevalues that are distinguishably different from most other values, these arereferred to as outliers. Usually, an outlier is an anomaly that occurs due tomeasurement errors but in other cases, it can occur because the experimentbeing observed experiences momentary but drastic turbulence. In either case, itis important to deal with outliers because they can adversely impact theaccuracy of your results, especially in regression models. In this tutorial, ... Read More

Feed: Matillion. Author: Ashley Lozito; We are so excited to announce that Matillion has achieved the Amazon Redshift Ready designation, part of the Amazon Web Services (AWS) Service Ready Program. This designation recognizes that Matillion ETL, Matillion’s flagship product, has demonstrated successful integration with Amazon Redshift. Matillion ETL for Redshift is also the top-rated product in AWS Marketplace. Amazon has many partners but only some products are truly integrated with their solutions. Achieving the Amazon Redshift Ready designation differentiates Matillion as an AWS Partner Network (APN) member with a product integrating with Amazon Redshift and is generally available and fully ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Roman Chuprina. Machine Learning is a term heard around the world these days. Industries like Retail, Healthcare, and Manufacturing are taking the best out of it. So does the leaders in Banking and Finance. There is enough time and room before the technology will truly explode. However, we can still talk about some real-world use cases and ways your business can benefit. AI and ML in financial services Machine learning in finance is rapidly developing – there are already dozens of options for its use in the financial sector. So why ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Featured Resources and Technical Contributions  Key Graph Based Shortest Path Algorithms - Part 1: Dijkstra's And Bellman-Ford + Portfolio optimization with Quantum Computing Multi Gigabyte R data.table for Ohio Voter Registration/History Importance of Hyper-parameters in Model development Deep Learning from first principles in Python, R and Octave Docker in 10 minutes Scene-rendering with Google's DeepMind 5 Most Preferred Programming ... Read More

Feed: AWS Big Data Blog. This is a guest post by Arvind Godbole, Lead Software Engineer with FactSet and Tarik Makota, AWS Principal Solutions Architect. In their own words “FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, which provides instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, we are always working to improve the value that our products provide.” One area that we’ve been looking into is the relevancy of search results for our clients. Given the wide variety of client use ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Charlie Klein, Product Marketing Manager at Logz.ioOften times, metrics and logs that are clearly indicative of oncoming production crises are lost in a sea of telemetry data generated by modern, distributed Amazon Web Services (AWS) environments. This is especially true in environments powered by technologies like Kubernetes. Each layer in a microservices architecture—such as databases, cloud infrastructures, backend services, and client-side applications—produces different kinds of telemetry data that must be monitored for performance and reliability. The result is a barrage of logs and metrics that increase in scale and variety ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious results. Humans-based decision tasks are not an exception. This article focuses on using Data Science and Machine Learning techniques for HR tasks. It is one of the topical problems of a good HR manager to be well familiar with modern smart tools helping to manage large data flows ... Read More

Feed: Microsoft Azure Blog. Author: James Ding. Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries. Anomaly detection is about finding patterns in data that do not conform to expected behavior. It is important for decision-makers to be able to detect them and take proactive actions if needed. Using the oil and gas industry as one example, deep-water rigs with various equipment are intensively monitored by hundreds ... Read More

Feed: SAS Blogs. Author: Iain Stewart. “When you’re delivering so much cyclical activity and hiring thousands of people a year, there’s so much work that needs to happen just to stand still,” says Debbie Adler, HR Director General at the DWP. If the idea of "running to stand still" sounds familiar, that’s because issues like pay freezes, budget cuts and Brexit uncertainty have created serious HR headaches throughout the public sector. Then there’s the added pressure of digitalising services across multiple channels whilst continuing to meet citizens’ expectations, which adds extra complexity. No wonder staff turnover has reached up to ... Read More