Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

The latest JavaScript specification standardizes a well-balanced and thoughtful set of features, including the built-in ...

Uber CEO Dara Khosrowshahi is okay with reinventing the bus The head of Uber on autonomous cars, shared rides, and the future of mobility.

The element-wise functions of a matrix are widely used in machine learning. For the applications with large matrices, efficiently computing the matrix-vector multiplication of matrix element-wise ...

As a widely-used tool to resist outliers, the correntropy criterion or Welsch function has recently been exploited for robust matrix recovery. However, it down-weighs all observations including ...

Moving from object-oriented to functional programming is a paradigm shift for developers, but these key principles explain why it's worth the effort.

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Keywords: extracellular matrix proteins, elastin, small artery development, myogenic reactivity, endothelial function Citation: Nourian Z, Hong K, Li M, Castorena-Gonzalez JA, Martinez-Lemus LA, ...

However, using matrix inverse is a much cleaner design in my opinion. Notice that in order to multiply the vector of target y values in trainY times the inverse, the target y values must be converted ...