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...
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...
You may have figured out already that statistics isn’t exactly a science. Lots of terms are open to interpretation, and sometimes there are many words that mean the...
This article was written by Giuseppe Bonaccorso. Stochastic Gradient Descent (SGD) is a very powerful technique, currently employed to optimize all deep learning model...
Power BI provides slicers for a single column, but there are scenarios where it could be useful to consolidate alternative filters for multiple columns in a single slicer...
They say that the best ideas sometimes come to you while you are in the shower, and this idea of how to explain two important Neural Network concepts – Backpropagation ...
With intense urbanization, the transportation industry works round the clock to suffice the demands of their projects. Carrying goods from one part of the city to the oth...