R-squared can help you answer the question “How does my model perform, compared to a naive model?”. However, r2 is far from a perfect tool. Probably the… Read More »Alternatives to R-squared (with pluses and minuses)
This article was written by Roopam Upadhyay. This article is a continuation of our manufacturing case study example to forecast tractor sales through time series and… Read More »Forecasting through ARIMA Modeling using R – Step-by-step Guide
This article was written by Alexandr Honchar. People use deep learning almost for everything today, and the “sexiest” areas of applications are computer vision, natural… Read More »Deep learning: the final frontier for signal processing and time series analysis?
As a teacher of Data Science (Data Science for Internet of Things course at the University of Oxford), I am always fascinated in cross connection… Read More »Logistic regression as a neural network
If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented… Read More »What is Augmented Data Science and Why is it Important to My Business?
Thanks to evolving technology, retail marketers nowadays have access to wide range of data and analytics tools, which is making everyone’s life easier. It gives… Read More »How Data Science is Important for eCommerce
I was comparing home prices in San Francisco between 1994 and 2018, and I noticed that it has increased by a factor 4 over 25… Read More »How the Brain Interprets Visualizations
Trends to Watch Out For and Prepare Yourself Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts… Read More »Top Trends for Data Science in 2019
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner Big data is the new oil and there’s no denying… Read More »Five Top Big Data Certifications for 2019
Introduction Deep Neural Networks are highly expressive machine learning networks that have been around for many decades. In 2012, with gains in computing power and… Read More »Adversarial Attacks on Deep Neural Networks: an Overview
