Tag: data scientist

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: 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: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to the newly initiated. What could be more natural in these days of the Corona Virus than binge watching great videos.  I was intrigued by a recent offer from Futurology who has sponsored “The History of Artificial Intelligence” on YouTube for free viewing.  The two-and-a-half-hour video is described as "the culmination of documentaries that cover the history and origins of computing-based artificial intelligence." ... Read More

Feed: Radar. Author: Peter Skomoroch and Mike Loukides. Edit note: The increasing push to adopt AI into product, across many industries, puts the intersection of AI and product management into sharp focus. Challenges abound: non-deterministic outcomes, uncertainty (schedule, accuracy, relevance), opacity (models can be difficult to understand and explain), fairness issues, and other factors make AI a difficult sell to decision-makers and upper management. Here, Pete Skomoroch and Mike Loukides layout, in detail and with helpful supporting examples, what makes AI different, how to address those differences, and how product managers can better align their efforts in pragmatic support of ... 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. 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: AWS Government, Education, & Nonprofits Blog. Author: Dr. Andrew Jones. Cloud-based technology is supporting healthcare organisations and governments in response to the evolving COVID-19 situation. Healthcare providers and professionals, governments, and patients around the world face are facing an unprecedented challenge. Healthcare organizations and workers are on the frontline serving those affected by the illness and collaborating to find a cure. Healthcare organisations are adapting to this new way of working—from remote working to creating new diagnosis and care models to enhancing research. Some healthcare professionals are remotely reviewing, triaging, and addressing incoming requests from citizens and patients and ... Read More

Feed: Alation. Author: Dave Wells. March 31, 2020— As organizations become more data driven and the scope of data consumers expands through self-service, data literacy and data fluency have become valuable organizational competencies. Current events throughout the world are escalating the value of these competencies from valuable to imperative. The COVID-19 pandemic affects all dimensions of business and society. As the pandemic moves from current events to recent history, data competencies will be essential for businesses to manage the economic, social, and regulatory consequences. What is Data Literacy? Data literacy is the ability to derive meaningful information from data. Literacy ... Read More

Feed: Recent Announcements. This intermediate-level course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Via presentations and demonstrations by expert AWS instructors, you will learn about each phase of the pipeline. You will then apply that knowledge to complete a project solving one of three business problems. By the end of the course, you will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves your selected business problem. We’ve added this classroom course to the learning paths for Machine Learning Developer, ... Read More

Feed: AWS Partner Network (APN) Blog. Author: APN Partner Guest Post. By Rupesh Kothapalli, AWS Architect/DevOps Engineer at BizCloud ExpertsBy Nagesh Kunamneni, Chief Technical Officer at BizCloud ExpertsEnterprises don’t require just any data to help them improve their business decisions—they require the right kind of data. You need to ask the right questions in the right way to get the answers you’re looking for, and in a form you can use. Though it sounds simple, developing those questions for massive amounts of data can be a daunting task. To deal with this challenge, data scientists typically employ MapReduce tools like ... Read More