Feed: Teradata Blog. Like many organizations, Groupon had on-premises data centers. When a global company like Groupon expanded geographically or rapidly scaled up based on major shopping events, such as Cyber Monday, expanding on-premises environments meant making changes to the operating environment like increasing storage or adding computing processing power. For Groupon to enter new countries, this also comes with data sovereignty, so during Groupon’s early beginnings, this meant creating new data centers in various countries around the globe.“Twelve, thirteen years ago the Cloud didn't really exist. So, we had to build our own data centers and a lot of ... Read More

Feed: R-bloggers. Author: Kathleen Bostic and Michel Ruiz-Fuentes. [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 is a guest post from Kathleen Bostic (Spelman College) and Michel Ruiz-Fuentes (Smith College), participants in the INSPIRE U2 summer site directed by Dr. A. Nayena Blankson. The INSPIRE U2 Program provides a learning pathway for underrepresented female students to enter advanced degrees and careers in statistical fields ... Read More

Feed: R-bloggers. Author: T. Moudiki. Last week I presented ahead, an R package for univariate and multivariate time series forecasting. In particular, the function dynrmf was introduced for univariate time series, with examples of Random Forest and Support Vector Machines fitting functions (fitting and predicting through fit_func and predict_func arguments of dynrmf). First things first, here’s how to install R package ahead: 1st method: from R-universe In R console: options(repos = c( techtonique = 'https://techtonique.r-universe.dev', CRAN = 'https://cloud.r-project.org')) install.packages("ahead") 2nd method: from Github In R console: devtools::install_github("Techtonique/ahead") Or remotes::install_github("Techtonique/ahead") In version 0.2.0 of ahead, Ridge regression is the default fitting ... Read More

Feed: Top Blog Posts. Author: Bill Schmarzo. Note:  Many thanks to those who provided comments on my previous blog “Features Part 1: Are Features the new Data?”. And special thanks to Somil Gupta and Harsha Srivatsa who patiently worked with me to clarify many of my thoughts on the subject.  Yea, some of my thoughts are a bit whacky, but life should be a bit whacky if we want to learn new things. My blog “Features Part 1: Are Features the new Data?” created quite a stir, and lots of learning for me! In that blog, I proposed the “Data-to-Features-to-ML ... Read More

Feed: Top Blog Posts. Author: ajit jaokar. Background Every industry will be affected by algorithms and algorithmic bias. But we could rethink this as – Do algorithms introduce bias or do they introduce transparency? An interesting paper illustrates this point. Assessing Algorithmic Biases for Musical Version Identification  is a study on algorithmic biases for musical version identification. In the music industry, the Version identification (VI) systems is the mechanism used to detect different renditions of a musical composition for determining the royalty due. There are three stakeholders here who can claim royalty: the original artist, the artist who rendered the performance which was ... Read More

Feed: Top Blog Posts. Author: Marvin Rey Espino. Even when artificial intelligence (AI) is set to revolutionize the world, it’s clear that not all businesses maximize its potential. In the US, only 9% of companies use machine learning and voice recognition. And of the top 500 US firms, only 29% benefit from AI systems. All these when the benefits of AI are loud and clear either in terms of monetary value and industry importance. Studies forecast that AI will likely grow to a whopping 17 trillion dollars in 10 years. Tech executives believe AI boosts people to be creative and ... Read More

Feed: Top Blog Posts. Author: Annie moore. Content assists you in achieving your objectives and is regarded as the essential factor in many fields. Content can be many things like a thesis for students, any blog post to engage bloggers, or a marketing post to attract customers for digital businesses. Unique and valuable content is what people want from you. Content that is unique and comprehensive is a core in any type of writing, be it an article, blog, or scholarly document.  This will help you build your reputation while also preventing you from being accused of Plagiarism. The Internet is a primary ... Read More

Feed: Top Blog Posts. Author: Aileen Scott. Virtual numbers offer a plethora of benefits. Globalization and multinational corporations have enabled businesses to transcend geopolitical boundaries. A robust yet flexible communication system is essential to these large-scale operations. It is challenging to coordinate an international team that hails from all corners of the world. Due to different time zones, even finding a common slot for a meeting can be difficult. In addition, instabilities with the Internet and technical issues make things even more difficult. Communication and coordination challenges in every aspect of your business can be overcome with cloud telephony. Cloud-based ... Read More

Feed: Top Blog Posts. Author: Shanthababu P. Guys! I hope you all are enjoyed reading my earlier article Part - I 10/20, and I trust that would be useful for you. Let's discuss the rest of the project quickly. 11. Learn to prepare data for your next machine learning project. Problem Statement & Solution When you’re dealing with NLP based problem statement, we must focus on “Text Data” preparation before you can start using it for any NLP algorithm. The foremost step is that text cleaning and processing is an important task in every machine learning project, even if we ... Read More

Feed: Top Blog Posts. Author: Aileen Scott. Worldwide the necessity of data science has become very vital in many industries, they are using it to grab valuable insights to stay ahead of the competition. Each industry has a massive amount of data that they don’t know what to do with it. The need for professionals in data science has grown immensely in all industries because only they can understand the data. People who choose a career path in data science can prove their skills in big data platforms by doing certification programs through several learning institutions that offer certified data ... Read More