These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

INE, a leading provider of technical training and certification, today announced the launch of the Junior Data Scie ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...