Reinforcement Learning, Intuition, and Abductive Reasoning
To build a full strategy, historical data would be used to build statistical or machine learning models, but this data would also be combined with lots of implicit modeling on the behavior of the system at the extreme. And in fact, implicit modeling is required in order to model for anything that would be outside of the range of historical data.
How to implement the backpropagation using Python and NumPy
I was recently speaking to a University Academic and we got into the discussion of practical assessments for Data Science Students, One of the key principles students learn is how to implement the back-propagation neural network training algorithm. Many students start by learning this method from scratch, using just Python 3.x and the NumPy package....