The following is an implementation of cellular automata using Love2D (an engine for game development). So, what is Cellular Automata? A cellular automaton is a collection of “colored” cells on a grid of specified shape that evolves through a number of discrete time steps according to a set of rules…

The A/B testing is commonly used nowadays for advertisement. Two customers can visit a retail webpage, and each sees different content. The goal here is to select to measure which advertisement is effective. If we have picked 1000 visitors randomly, 900 clicked on advertisement A, and 100 clicked on advertisement…

Principal component analysis (PCA) is a dimension reduction algorithm. It transforms the data to a lower dimension, making it easy to visualize; for example, a human is a 3D object in space, a shadow of a human is a 2D representation of a human. PCA utilizes Singular Value Decomposition (SVD)…

The aim this piece is to demonstrate some concepts of functional programming in Python, let’s dive-in! Part Derivative: The following function calculates the slope on a non-linear line.

My Journey to Embracing Humility, Setting Boundaries, and Nurturing Meaningful Connections — In this personal narrative, I invite you to join me on a transformative journey of self-discovery and growth. Through the pages of my story, you’ll uncover the valuable lessons I learned in embracing humility, setting boundaries, and nurturing meaningful connections. Each lesson holds profound insights that have shaped my understanding…

The Guiding Principles to Prompt Engineering — Prompting plays a crucial role in effectively utilizing language models like ChatGPT. By providing clear and specific instructions, we can guide the model toward generating desired outputs while reducing the chances of irrelevant or incorrect responses. Moreover, giving the model time to think and reason can help avoid rushed or…

A Demonstration of Association Rule Mining — The following code is an example from the mlxtend library user guide that demonstrates how to use the frequent_patterns module to extract frequent itemsets from a dataset using the FP-Growth algorithm in Python. The mlxtend library is a popular tool for performing association rule mining and other data analysis tasks. …

Key Terms and Metrics — Association rule mining is a technique used in data mining to uncover relationships between variables in large datasets. It involves identifying patterns or associations between items in a transactional database. Association rule mining has various applications, such as market basket analysis, customer segmentation, and web mining. It is crucial to…

How the Early Detection of Issues Can Benefit Your IT Service Management — ITIL 4 introduces the concept of the shift-left approach, which emphasizes the need to identify and address issues as early as possible in the service lifecycle. By adopting this approach, organizations can improve service delivery and reduce the cost and time associated with late issue resolutions. The shift-left approach involves…