DL Notes: Gradient descent

I describe the algorithm of gradient descent, which is used to adjust the weights of an ANN. A summary of information from different sources that I used when studying this topic.

Unconventional Data Analysis: extracting test bench results with Python

A practical example of how to use Python to analyze the results of an experimental test consisting of a sequence of stationary points

DL Notes: Feedforward Artificial Neural Networks

I share some notes about the basic math behind feed-forward Artificial Neural Networks (ANNs).

Moving average filters: the good and the bad

Moving averages are the go-to data smoothing trick for many people in Engineering and Data Analytics. However, they aren't always the best choice.

Computing the convection coefficient of a brake disc

I estimated the heat convection coefficient of a Formula SAE car. Let me share what I learned.

Estimating the working temperature of a brake disc

I used a lumped-body approach to approximate the properties of a brake disc and simulated its temperature increase after 100 braking maneuvers.

Brake system load distribution study - MATLAB approach

I studied the brake load distribution of a Formula car using a simple Matlab script. Let me show you how I did it.

I'm improving my blog using schema markup

If you are writing how-to posts or guides, you should do this. For any kind of content, really.

Getting the size of a 3D print model from G-code

I wrote a Python script to get the size of a 3D print job from Gcode. Let me show you how it works.

Making#1 | A newsletter about making stuff after office hours

The first issue of Making - a newsletter about making stuff after office hours. Welcome to a maker, learner, and side hustler's lair.

3 keyboard macros to speed up your Simulink workflow

I configured my macro pad to improve the way I use Simulink. See how you can use custom shortcuts to save time.

Making a macro pad from scratch

I designed and built a QMK/VIAL macro pad from scratch. Let me tell you about the things I learned and useful resources I found as a beginner.