Tag: statistics

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, 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. It is not yet clear what lasting impact the Covid-19 pandemic will ultimately have on R conferences. We are still adapting to our inability to attend large events, and trying to make the best of the “silver lining” of virtual events which permit worldwide participation. The following is an attempt to list ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Source: see here Part 1 of this short series focused on the business analytics / BI / operational research aspects, see here. In this Part 2, you will find the most interesting machine learning and statistics articles that I wrote in the last few years, focusing on core technical aspects. The whole series will feature articles related to the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic data (in short, experimental data science) Opinions, for instance about the value of a PhD in our field, or ... Read More

Feed: R-bloggers. Author: Andrew Treadway. Data exploration is an important part of the modeling process. It can also take up a fair amount of time. The awesome DataExplorer package in R aims to make this process easier. To get started with DataExplorer, you’ll need to install it like below: install.packages("DataExplorer") Let’s use DataExplorer to explore a dataset on diabetes. # load DataExplorer library(DataExplorer) # read in dataset diabetes_data Running the create_report line of code above will generate an HTML report file containing a collection of useful information about the data. This includes: Basic statistics, such as number of rows and ... Read More

Feed: SAS Blogs. Author: Simon Overton. The UK government sector is standing on the verge of the unknown. The fallout from the COVID-19 pandemic and the economic and political outcomes of Brexit remains to be seen, but change is a certainty. Government departments will need to respond quickly and decisively. But they will have a chance to innovate as this new phase in the nation’s history emerges. Digital transformation can help government become more agile and respond more quickly to emerging trends and future crises. The response to the pandemic has already shown how government departments can harness data and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. This blog is the second part in a series. The first part is The Bayesian vs frequentist approaches: implications for machine le... In part one, we summarized that: There are three key points to remember when discussing the frequentist v.s. the Bayesian philosophies. The first, which we already mentioned, Bayesians assign probability to a specific outcome. Secondly, Bayesian inference yields probability distributions while frequentist inference focusses on point estimates. Finally, in Bayesian statistics, parameters are assigned a probability whereas in the frequentist approach, the parameters are fixed. Thus, in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Alaa Mahjoub. In many cases, for an enterprise to build its digital business technology platform, it must modernize its traditional data and analytics architecture. A modern data and analytics platform should be built on a services-based principles and architecture. Introduction part 1, provided a conceptual-level reference architecture of a traditional Data and Analytics (D&A) platform. This part, provide a conceptual-level reference architecture of a modern D&A platform. Parts 3 and 4, will explain how these two reference architectures can be used to modernize an existing traditional D&A platform. This will be ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Shekh Sadli Al Zadid. What are the Importances of Data Science in the Modern Age? Data Science is considered one of the best lucrative job fields of the 21st century. It is nothing other than the combined study of mathematics, statistics & computer science (including domain and programming expertise); which is used to drawing out the insight of both structured and unstructured data.   This is an era where Data itself is viewed as the modern world’s most precious resource which makes Data Science equally important. So today you will find out ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kedar Supekar. Data science is study of data that involves emerging methods of recording, storing and analyzing the data, to easily extract the needed information to take the necessary decisions for business. The phrase ‘Data Science Platform’ can be described as a software including a variety of technologies for advanced analytics uses and machine learning. It allows data scientists within a single environment to discover actionable insights from data, plan a strategy, and also in communicating the collected insights throughout an enterprise. As data science projects involve a number of different ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Luis. The Time-Series ecosystem Time-series analysis has been studied for more than a hundred years, however, the extraordinary growth of data available from numerous sources and more frequent growth of data alongside the growth of computer power (GPU & Multicore) makes the analysis of large-scale time-series data possible today in a way that was not previously practical. The use of time-series data has been traditionally linked to sectors where time is not just a metric but a primary axis, such as in finance, Industrial IoT, and energy. However, in the last ... Read More

Feed: SAS Blogs. Author: Amanda Pack. Growing up in Eastern NC meant attending a diverse elementary school until 6th grade when we moved across town.  I remember asking my mom where all the black people were.  I think there were a total of 3 black kids in my 6th grade class.  Little did I know, in the next town over, the story would have been quite the opposite.   In 1997 segregation, be it voluntary, was alive and well.  However, both elementary schools combined to create 1 high school.  Insert running.  I joined the cross-country team as a freshman and, aside ... Read More