Tag: data science

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. This post is a part of my forthcoming book on Mathematical foundations of Data Science. In this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning. Welcome comments Background As part of my role as course director of the Artificial Intelligence: Cloud and Edge Computing at the University..., I see more students who are familiar with programming than with mathematics. They have last learnt maths years ago at University. And then, suddenly they find that they encounter matrices, linear algebra etc ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Smith Johnson. The only way of surviving in the market is to continuously transform from an older strategy to a new strategy. It is this transformation that leads the company to another level and can be called an innovative company. Technology has manifested to be the most innovative part of the world. It has reached to a certain level that its advancement and innovation has exceeded humanity. Internet of Things is one of the most eminent and innovative trends in technology that has raised the standards of living. Internet of Things ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Introduction After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available to the world. The 5-quantum-bit (qubit) resource they now call the IBM Q experience. It was more like a toy for researchers than a way of getting any serious number crunching done. But 70,000 users worldwide have registered for it, and the qubit count in this resource has now quadrupled. With so many promises by quantum computing and data science being at ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Neeraj. Preface This article is based on Unsupervised Learning algorithm: Hierarchical Clustering. This is the brief illustration with a practical working example of forming unsupervised hierarchical clusters and testing them to assure that you have formed the right clusters. This is a real-life data world example which can be studied and evaluated as data is provided for personal use and practice. There are variations to each topic in data science but there is a brief basic pattern that can be followed to build models. “The Datum” empowers you to have access ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Capri Granville. I stumbled upon this book by chance, when searching for material about time series (probably the most interesting chapter in this collection.) The various chapters are accessible from the top tabs, on this web page. It is mostly about R, but it has a few interesting chapters on statistical science too. Below is a summary. Time series decomposition (in chapter 23) This website was created with 6 major sections: Programming, Plotting, Regression, ANOVA, Advanced topics,and R-Apps.The tutorials build on each other, but can also be utilized independently from one ... Read More

Feed: R-bloggers. Author: Alastair Rushworth. Exploring categorical data with inspectdf What’s inspectdf and what’s it for? I often find myself viewing and reviewing dataframes throughout thecourse of an analysis, and a substantial amount of time can be spentrewriting the same code to do this. inspectdf is an R package designedto make common exploratory tools a bit more useful and easy to use. In particular, it’s very powerful be able to quickly see the contents ofcategorical features. In this article, we’ll summarise how to use theinspect_cat() function from inspectdf for summarising andvisualising categorical columns. First of all, you’ll need to have ... Read More

Feed: R-bloggers. Author: R on The broken bridge between biologists and statisticians. ANOVA is routinely used in applied biology for data analyses, although, in some instances, the basic assumptions of normality and homoscedasticity of residuals do not hold. In those instances, most biologists would be inclined to adopt some sort of stabilising transformations (logarithm, square root, arcsin square root…), prior to ANOVA. Yes, there might be more advanced and elegant solutions, but stabilising transformations are suggested in most traditional biometry books, they are very straightforward to apply and they do not require any specific statistical software. I do not think ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; Data scientists are one of the most valuable teams a company can have. But some businesses overlook how important it is to equip their data scientists with the tools that can help them unlock value from data.In particular, it is essential that companies remain adaptive and agile when taking in vast amounts of unstructured data. To get the most value from their data and their data scientists, businesses need a capable, easy-to-use data warehouse that offers built-in data science and parallel processing. These demands point to a data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Featured Resources and Technical Contributions  Assumptions of Linear Regression in One Picture + How to learn the maths of Data Science - using your high school maths knowledge Free Book: Statistics, Dataviz, and Data Cleaning with R  Everything You Wanted To Know About Recommender Systems  Simplified Logistic Regression  Alternatives to R-squared (with pluses and minuses)  Machine Learning : Unsupervised – ... Read More

Feed: R-bloggers. Author: hrbrmstr. I mentioned EtherCalc in a previous post and managed to scrounge some time to put together a fledgling {ethercalc} package (it’s also on GitLab, SourceHut, Bitbucket and GitUgh, just sub out the appropriate URL prefix). I’m creating a package-specific Docker image (there are a couple out there but I’m not supporting their use with the package as they have a CORS configuration that make EtherCalc API wrangling problematic) for EtherCalc but I would highly recommend that you just use it via the npm module. To do that you need a working Node.js installation and I highly ... Read More