Since the introduction of Machine Learning and Deep Learning in Computer Vision, it’s tempting to use these statistical tools all…
One of the key aims of image processing is the demarcation of objects in digital images. This process is called…
Machine Learning data comes in a wide range of formats such as videos, images, sound clips, text and sensor data.…
Last week we looked at how the simplest of Machine Learning models, Linear Regression, can be used to predict continuous…
In the first of a series of blogs introducing the key Machine Learning models, we’ll start this week by looking…
Jupyter Notebooks are becoming the cornerstone tool for data scientists and Machine Learning practitioners. Why the sudden growth in popularity?…
If you work with Python you’ve most certainly heard of virtual environments, and hopefully you’re using them, but what concretely…
Machine Learning models are ‘trained’ but what concretely does ‘training’ mean in the context of a model? This article explains…
In Machine Learning literature, we often hear about the ‘model’ but what concretely is a Machine Learning model? This article…
In the embedded software domain, where C and C++ dominate, Python is often perceived as not being a serious language…