PythonEnvForAivia/ contains a virtual environment auto-builder. This is useful for users who do not know how to set a virtual environment and want to use recipes in Aivia without using any command ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...

If you're new to the world of machine learning and optimization, the term "Gradient Descent" might sound intimidating. However, don't let the name scare you away. Gradient Descent is a fundamental ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...

Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

You can skip this part if you just want to get a working code, I want to briefly comment how I wrote this code and why. Displaying an image on an SLM is not harder than displaying an image on a screen ...

Last month Google introduced a trippy program called DeepDream, which early adopters have used to generate psychedelic variations of everything from Hieronymus Bosch to porn (NSFW!). By taking these ...