Purpose : Perform matrix multiplication between two input SAS datasets containing only numeric variables. The macro extracts numeric columns, validates dimensions, and outputs the resulting product ...

Abstract: Stochastic computing (SC) is a re-emerging technique to process probability data encoded in digital bit-streams. Its main advantage is that arithmetic operations can be implemented by ...

This library implements some basic matrix operations. These functions are not guarenteed to be stable or numerically sound, nor are they very optimized, but for smaller applications they should be ...

This chapter discusses the mechanics of machine learning math and describes how to translate math basics into usable code. Machine learning is so appealing because it allows machines to learn from ...