Automatic differentiation is the foundation upon which deep learning frameworks lie. Deep learning models are typically trained using gradient based techniques, and autodiff makes it easy to get gradients, even from enormous, complex models. ‘Reverse-mode... (more…)

The challenge Given the triangle of consecutive odd numbers: Calculate the row sums of this triangle from the row index (starting at index 1) e.g.: Test cases The solution in code While there are many ways to achieve this, the absolute most simple is to r... (more…)

Production machine learning is about more than just algorithms... (more…)

Have you ever wondered what if summary statistics is more just a simple summary?Introducing, pandas_profiling for simple and fast exploratory data analysis o... (more…)

Coroutine... (more…)