August 2017

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a… Read More »Book: R for Data Science

Guest blog by Rob Kabacoff. Rob is Professor of Quantitative Analytics at Wesleyan University. R is an elegant and comprehensive statistical and graphical programming language. Unfortunately,… Read More »Quick Guide to R and Statistical Programming

This is a nightmare! Tadayoshi Kohno, Professor at Department of Computer Science and Engineering, University of Washington, manipulated a STOP sign in a typical “graffiti… Read More »Robust Attacks on Machine Learning Models

First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what’s the… Read More »Why Deep Learning is Taking off? Season 1 : Part 1

Today more than even, every business is focusing on collecting the data and applying analytics to be competitive. Big Data Analytics has passed the hype… Read More »Are you drowning in Data Lake?

The last few blog posts of this series discussed regression models. Fernando has selected the best model. He has built a multivariate regression model. The model takes… Read More »Data Science Simplified Part 8: Qualitative Variables in Regression Models

This article was written by Aatash Shah. Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning… Read More »Machine Learning Vs. Statistics