Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

This is the story of a quest. A story which stems from a stream of failures and some gleams of perseverance, where countless attempts clash with repeated falls, a story which exists because of people ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Any confusion concerning who has the top individual TV shows -- linear, streaming, or otherwise -- should be clear when Nielsen -- or others -- release show-by-show traditional average viewer ...

Today we heard from [Richard James Howe] about his new CPU. This new 16-bit CPU is implemented in VHDL for an FPGA. The really cool thing about this CPU is that it eschews the typical program counter ...

Abstract: A new, computationally efficient, algorithm for linear convolution is proposed. This algorithm uses an N point instead of the usual 2N-1 point circular convolution to produce a linear ...

Traditional load prediction methods are unable to effectively predict the loads according to the spatial topology of each electricity consumer in neighboring areas and the load dependency correlations ...

Most embedded engineers writing firmware have used some sort of digital filters to clean up data coming from various inputs such as ADCs, sensors with digital outputs, other processors, etc. Many ...

PDMATLAB2D is a meshfree peridynamics implementation in MATLAB suitable for simulation of two-dimensional fracture problems. The purpose of this code is twofold. First, it provides an entry-level ...