Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to create your model, the end result ...
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...
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...
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...
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...
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...
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...
This article was written by Sondos Atwi. In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dat...
This is an unusual application of AI, it is not fiction, and it works! It started probably more than 30 years ago. Sometimes referred to as symbolic mathematics, and usua...
Introduction Co-relation does not equal causation – is a mantra drilled into a Data Scientist from an early age That’s fine .. But very few talk of the follow-on ques...