Tag: Data visualization

Feed: R-bloggers. Author: Peter Laurinec. Ensemble learning methods are widely used nowadays for its predictive performance improvement. Ensemble learning combines multiple predictions (forecasts) from one or multiple methods to overcome accuracy of simple prediction and to avoid possible overfit. In the domain of time series forecasting, we have somehow obstructed situation because of dynamic changes in coming data. However, when a single regression model is used for forecasting, time dependency is not the obstacle, we can tune it at current time of a sliding window. For this reason, in this post, I will describe you two simple ensemble learning methods ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. There are thousands of Big Data tools out there for data analysis today. Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. To save your time, in this post, I will list 30 top big data tools for data analysis in the areas of open source data tools, data visualization tools, sentiment tools, data extraction tools and databases. Open Source Data Tools 1. Knime KNIME Analytics Platform is the leading open ... Read More

Feed: R-bloggers. Author: claire.tu. R is a powerful language used widely for business analytics. More companies are seeking business analysts with knowledge of R. In this R for Business Analysts course, students will learn how data science is done in the wild, with a focus on data acquisition, cleaning, and aggregation, exploratory data analysis and visualization, feature engineering, and model creation and validation. Students use the R statistical programming language to work through real-world examples that illustrate these concepts. Concurrently, students learn some of the statistical and mathematical foundations that power the data-scientific approach to problem solving. Classes will be ... Read More

Feed: R-bloggers. Author: Quantide. Machine Learning with R is our third course of the autumn term. It takes place in October 25 – 26 in Milano Lima.If you already use R and want to get an overview of machine learning techniques with R, this is the right course for you! You will need some background in theoretical statistics, probability, linear and logistic regression. You will learn how to group similar observations using Clustering; how to “naturally” aggregate your variables using Dimensionality Reduction; how to predict outcomes using Regression and Classification (LMs, GLMs, Trees, Random forests, Neural networks). In other words, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Anshu Kaushal. This article on how to build the first Machine Learning model on iPhone X was posted by Mohd Sanad Zaki Razvi. Sanad is currently pursuing B.Tech in Computer Science from National Institute of Engineering, Mysore. A data science rookie, he is passionate about Machine Learning, Data Visualization and the impact AI can have on the world. Introduction The Big techs are working on the "Technology of Future". This is evident by the Launch of iPhone X which has created a buzz in the Machine Learning world. The data scientist in ... Read More

Feed: R-bloggers. Author: Daniel. Another quick preview of my R-packages, especially sjPlot, which now also support brmsfit-objects from the great brms-package. To demonstrate the new features, I load all my „core“-packages at once, using the strengejacke-package, which is only available from GitHub. This package simply loads four packages (sjlabelled, sjmisc, sjstats and sjPlot). First, I fit two sample models, one with brms and one with rstanarm: #> install pkg "strengejacke" via GitHub: #> devtools::install_github("strengejacke/strengejacke") library(strengejacke) library(ggplot2) library(lme4) library(glmmTMB) library(brms) library(rstanarm) data(Owls) m1 Next, some summary statistics, at first simply the High Density Interval, obtained from the hdi()-function. You can define ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vaishnavi Agrawal. Did you know that Python's usage in data science applications rose 51% in 2015? Did you know that youtube is heavily built on Python language consisting of over a million lines of code? Tech visionaries are predicting that it might soon overtake R and may well be the most popular language in data science industry. R is a language dedicated to statistics and data science but Python is a general purpose programming language. Inspite of this fact it is widely opted in data science environment. Recently, in tech forums ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back.  26 Great Blogs Posted in the last 12 Months Neural Networks: The Backpropagation algorithm in a picture + An overview of gradient descent optimization algorithms  Book: Machine Learning Algorithms From Scratch  Data Scientist Skill Set  One-page R: a survival guide ... Read More

Feed: SAS Blogs. Author: Michela Guerra. Nearly two years ago, we launched the Bright Data blog platform to serve the Central East Europe region of SAS. It was designed to enable us to discuss and share ideas with customers in the region, around issues such as analytics, customer intelligence, risk and data management. And, indeed, Bright Data has served us well over that period. We have blogged and posted in both English and local languages, and engaged with customers and each other around analytics and data science. We have discussed a wide range of subjects, including data quality monitoring, the ... Read More

Feed: R-bloggers. Author: Andy. A little over a year ago, we decided to propose a data visualization course at the first-year level. We had been thinking about this for awhile, but never had the time to teach it given the scheduling constraints we had. When one of the other departments on campus was shut down and the faculty merged in with other departments, we felt that the time was ripe to make this proposal. Course description of the EPsy 1261 data visualization course In putting together the proposal, we knew that: The course would be primarily composed of social science ... Read More