Cutting Through the Jargon to Bring Clear Explanations of Complex Ideas
AI | Algorithms and Machine Learning | Data Analysis | Computer Science | Mathematics

Most Recent Post
-
How Far Can You Push Excel with Regex?
Excelās regex functions bring pattern recognition and text parsing to the spreadsheet. This article explores how Regex Pattern Matching works under the hood ā from formal grammars and finite state machines to practical formulas for cleaning, extracting, and restructuring messy data. Read Moreā

My Mission
For years, Iāve noticed a simple problem: the most important ideas are often buried under layers of unnecessary jargon and academic complexity. My personal mission is to cut through that noise to get to the essential foundation ā the ākernelā ā of every complex subject.
I believe true understanding doesnāt come from memorizing definitions; it comes from grasping the simplest, core ideas and building robust mental models to help us navigate them.
My goal here is to be your guide to that design purity of ideas, ensuring you leave every article with clear, practical knowledge you can immediately use and apply.
Join āthe cliqueā
Stay up to date with the latest releases
Explore more
Browse our popular categories, or see some our featured articles below
-

Convolution, Kernels & Filters: A Beginnerās Guide to Edge Detection
Ever noticed how your brain just knows where one object ends and another begins? That instinctive separation is a fundamental⦠Read More ā
-

Still copy-pasting into ChatGPT? Hereās how to turn your ideas into AI-powered apps
Youāre staring at ChatGPT. Youāve done this a hundred times before: typed a question, copied a response, pasted it into⦠Read More ā
-

Youāre using ChatGPT wrong. Hereās how to prompt like a pro
Most people treat ChatGPT like a search engine. But with the right mindset and smarter prompting techniques, you can get⦠Read More ā
-

Mountains, Cliffs, and Caves: A Comprehensive Guide to Using Perlin Noise for Procedural Generation
Unlock the power of Perlin Noise in procedural terrain creation. Learn how to implement it from scratch, adjust octaves, lacunarity,⦠Read More ā
-

From Love to Logic: How Algorithms Decide OurĀ Matches
Explore the Gale-Shapley Algorithm and the Stable Matching Problem. Learn how algorithms create stable pairings, not just perfect matches. Read More ā
-

The Bridges of Kƶnigsberg
The sun dipped low over the bustling City of Kƶnigsberg, casting golden reflections over the Pregel River. Its waters divided⦠Read More ā
-

Information at a Glance: Do Your Charts Suck?
Letās face it: that report you worked on ā nobodyāsĀ actuallyĀ going to read it. In the best-case scenario, people might skim⦠Read More ā
-

What if an Infinite Number of Spaceships Arrive at Hilbertās Hotel?
Suppose youāve just been hired as the new manager of Hilbertās Infinite Hotel. On your first day, you arrive at⦠Read More ā
-

Solving the Travelling Salesman Problem Using a Genetic Algorithm
The Travelling Salesman Problem,Ā TSP, describes a scenario where a salesman wishes to visit a number of cities, while taking the⦠Read More ā
The Author

Hi, Iām James, the author of Concept Kernel
As the writer behind Concept Kernel, Iām a Professional Data Analyst with years of hands-on experience in Computer Science, Mathematics, Data, and Machine Learning.
My technical background gives me a unique perspective: Iām dedicated to achieving the design purity of ideas.
