Seduced by the Big Data meme: Hadoop vs the Public Cloud
Currently, Cloudera is in the news for all the wrong reasons(Cloudera stock down 42%) Since Cloudera now also incorporates Hortonworks – the current issues are just the...
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Alternatives to R-squared (with pluses and minuses)
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 mai...
Forecasting through ARIMA Modeling using R – Step-by-step Guide
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 ARI...
Deep learning: the final frontier for signal processing and time series analysis?
This article was written by Alexandr Honchar. People use deep learning almost for everything today, and the “sexiest” areas of applications are computer vision, natur...
Logistic regression as a neural network
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 between concepts. I no...
What is Augmented Data Science and Why is it Important to My Business?
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 Data Scie...
How the Brain Interprets Visualizations
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 years. In the meanwhile, the inflation index...
Top Trends for Data Science in 2019
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 about what 2019 holds in stor...
Five Top Big Data Certifications for 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 to this fact. In certain ...
Adversarial Attacks on Deep Neural Networks: an Overview
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 impro...