Category: Education

Feed: erwin Expert Blog – erwin, Inc.. Author: Mariann McDonagh. As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives.It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years. This data explosion has overwhelmed most organizations, making it nearly impossible for them to manage much less put to smart, strategic use. How do you identify the time-sensitive, relevant insights ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Logan berger. Lean Six Sigma continues to remain relevant as a way to improve business process capabilities. Artificial Intelligence and data analytics go hand in hand with Lean Six Sigma in terms of searching for truth in data to improve processes.  Lean Six Sigma practitioners and Data Scientists are able to collaborate because their skillsets fit so well together. Machine learning and data science help to process the large amounts of data Lean Six Sigma practitioners require to perform their roles.  Data analytics and Lean Six Sigma Data analytics can enhance ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Okay, I'm as mad as hell, and I'm not going to take this anymore! If data scientists are the modern-day alchemist who turn data into gold, then why are so many companies using leeches to monetize their data? When I talk to companies about the concept of a “Chief Data Monetization Officer” role, many of them look at me like I have lobsters crawling out of my ears.  “Sorry, we don’t have that role here.”  Of course you don’t have that role, and that’s why you SUCK at monetizing data.  ... Read More

Feed: R-bloggers. Author: Jonathan McPherson. [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 post is part of a series on new features in RStudio 1.4, currently available as a preview release. Today, we continue a long–standing tradition of concluding our preview blog series with a look at some of the smaller features we’ve added to the IDE. Deeper Outlines for R Scripts If you ... Read More

Feed: R-bloggers. Author: tomaztsql. [This article was first published on R – TomazTsql, 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. Azure Databricks is a data analytics platform (PaaS), specially optimised for Microsoft Azure cloud platform. Databricks is an enterprise-grade platform service that is unified for data lake architecture for large analytical operations. Azure Databricks combines: large scale data processing for batch loads and streaming datasimplifies and accelerates collaborative work among data scientists, ... Read More

Feed: R-bloggers. Author: Dario Radečić. R is a programming language created by Ross Ihaka and Robert Gentleman in 1993. It was designed for analytics, statistics, and data visualizations. Nowadays, R can handle anything from basic programming to machine learning and deep learning. Today we will explore how to approach learning and practicing R for programmers. As mentioned before, R can do almost anything. It performs the best when applied to anything data related – such as statistics, data science, and machine learning. The language is most widely used in academia, but many large companies such as Google, Facebook, Uber, and ... Read More

Feed: R-bloggers. Author: eoda GmbH. As digitalization progresses and data science interfaces continue to grow, new opportunities are constantly emerging to reach the personal analysis goals. Despite the „modernity“ of the industry, there is now a wealth of software for every need: From the design of the analysis infrastructure to the complete, decentralized evaluation through e.g. cloud computing (the outsourced evaluation of analysis scripts). Especially for companies that are just beginning to gain a foothold in the data science and analytics world, it is often difficult to select the appropriate tools and processes for their analysis workflow. But first and ... Read More

Feed: R-bloggers. Author: Why R? Foundation. [This article was first published on Why R? Foundation, 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. On Thursday, December 3rd at 7 pm UTC, as part of the Why R? Webinar series, we have the honour to host Claus Ekstrøm and Anne Helby Petersen from the Department of Public Health at the University of Copenhagen. They will present a talk about reporteR (formerly known as dataMaid), ... Read More

Feed: R-bloggers. Author: tomaztsql. [This article was first published on R – TomazTsql, 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. Using multiple languages is a huge advantages when people choose notebooks over standard code files. And with notebooks in Azure Data Studio without switching the kernels, you can stay on one and work your code by using following functions for switching. %%lang_r %%lang_py First, installing the Azure Data Studio . In addition, ... Read More

Feed: R-bloggers. Author: Sigrid Keydana. [This article was first published on RStudio AI 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. When what is not enough True, sometimes it’s vital to distinguish between different kinds of objects. Is that a car speeding towards me, in which case I’d better jump out of the way? Or is it a huge Doberman (in which case I’d probably do the same)? Often in real life ... Read More