Tag: Big Data

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article was written by Swati Kashyap. Swati is a data science & analytics enthusiast. Currently,she is learning data science at Analytics Vidhya. Mathematics & Statistics are the founding steps for data science and machine learning. Most of the successful data scientists I know of, come from one of these areas – computer science, applied mathematics & statistics or economics. If you wish to excel in data science, you must have a good understanding of basic algebra and statistics. However, learning Maths for people not having background in mathematics can be intimidating. First, ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. So, a programmer, a frequentist, and a bayesian walk into a bar. No this postisn’t really on the path to some politically incorrect stereotypical humor. Juttrying to make it fun and catch your attention. As the title implies this postis really about applying the differing viewpoints and methodologies inherent inthose approaches to statistics. To be honest I’m not even going to spend a lottime on the details of methods, I want to focus on the conclusions each of thesepeople would draw after analyzing the same data using their favored methods.This ... Read More

Feed: R-bloggers. Author: R Views. Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of Virology, University of the Free State, and National Health Laboratory Service (NHLS), Bloemfontein, South Africa In this post we complete our series on analysing the HIV pandemic in Africa. Previously we covered the bigger picture of HIV infection in Africa, and a pipeline for drug resistance testing of samples in the lab. Then, in part 3 we saw that sometimes the same patient’s genotype must ... Read More

Feed: R-bloggers. Author: . As I was preparing some graphics for a presentation recently, I started digging into some of the different color palette options. My motivation was entirely about creating graphics that weren’t too visually overwhelming, which I found the default “rainbow” palette to be. But as the creators of the viridis R package point out, we also need to think about how people with colorblindness might struggle with understanding graphics. If you create figures in R, I highly recommend checking it out at the link above! To leave a comment for the author, please follow the link and ... Read More

Feed: R-bloggers. Author: chris2016. Principal component analysis (PCA) is very useful for doing some basic quality control (e.g. looking for batch effects) and assessment of how the data is distributed (e.g. finding outliers). A straightforward way is to make your own wrapper function for prcomp and ggplot2, another way is to use the one that comes with M3C (https://bioconductor.org/packages/devel/bioc/html/M3C.html) or another package. M3C is a consensus clustering tool that makes some major modifications to the Monti et al. (2003) algorithm so that it behaves better, it also provides functions for data visualisation. Let’s have a go on an example cancer ... Read More

Feed: R-bloggers. Author: Colin Fay. How to build a CLI for R, with npm. Background This blog post was triggered by a discussion on Twitter with MartinSkarzynski,who was looking for a way to build a CLI that launches an RScript.Here’s a way to do this using npm. Please note that this blog post won’t teach you how to build the commandline tool, it will quickly go over the way to create a system-widecommand line interface, using npm. If you want to learn more about building the utility, see thisfantastic series of blogpostsby Mark Sellor. Now, the idea is to have ... Read More

Feed: Big Data Made Simple. Author: Megan Ray Nichols. The semiconductor industry has grown exponentially in recent decades, as more devices rely on them to function. Everyone carries around semiconductors in their pocket or purse, in the form of a smartphone or laptop. As the industry continues to change, big data is quickly becoming everyone’s favorite buzzword. How are big data and predictive analytics set to improve the superconductor and electronics industries?The changing digital landscapeThe digital landscape is continually changing and evolving, effectively doubling every two years. As of 2018, internet users numbered in the billions, generating 2.5 quintillion bytes ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: vikram-murali; Beyond IBM Cloud Pak for Data, formerly known as IBM Cloud Private for DataLast year, IBM announced IBM Cloud Pak for Data, a robust, end-to-end solution for data and analytic needs within an enterprise. One of its design principles was to help organizations access a vast array of data sources on-premises and in the cloud—all while applying IBM’s deep data management and analytics within a private cloud setting. As a refresher, IBM Cloud Pak for Data is an integrated collection of data and analytics microservices built on a ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Kapost; Blog Intel's Melvin Greer, Senior Principal Engineer and Chief Data Scientist, Americas writes about the data strategy necessary to execute the promises of AI and touts their collaboration with IBM on Cloud Pak for Data. But before anyone can execute an AI strategy, they’ll need a data strategy ... Read More

Feed: Planet big data. Author: Fiona Swerdlow. To help retailers and brands plan for 2019, Researcher Claudia Tajima and I are interviewing experts within Forrester for our series, “Applying 2019 Predictions To Retail.” Last week, we spoke to Sam Stern about how employee experience will impact retailers in 2019. This week, Claudia interviewed Michele Goetz, principal analyst on Forrester’s enterprise architecture team and an expert in AI, on her 2019 AI predictions report. Here’s what Michele thinks retailers and brands can expect and should focus on regarding AI in 2019. Claudia: In general, what should be top of mind this year for retailers in terms of artificial intelligence? Michele: Retailers don’t fully realize that they have to do more curation to determine what ... Read More