Welcome to a comprehensive guide on the Euclidean distance! In this video, you'll learn how to calculate the straight-line distance between two points, starting with 1D and gradually expanding to higher dimensions.

Understanding Euclidean distance is crucial in various fields, including mathematics, data science, and computer science. I'll demystify this concept by providing intuitive visualizations and animations, making it easier for all levels to understand.

Not only will we explore the theory behind Euclidean distance, but we'll also dive into real-world examples where it finds practical applications. These examples relate to my self-driving car and machine learning courses (links below).

To help you apply this knowledge, we'll implement the Euclidean distance using JavaScript and Python. Whether you're a beginner or an experienced coder, our tutorial will equip you with the skills to implement Euclidean distance calculations in your own projects.

⭐ LINKS ⭐

Pythagorean Theorem: [ Ссылка ]
Algorithm used by us humans (with a ruler): [ Ссылка ]

Machine learning course:
[ Ссылка ]

Self-driving car course:
[ Ссылка ]

Tutorials where I apply the Euclidean distance:
AR Pinwheel: [ Ссылка ]
Coding with ChatGPT: [ Ссылка ]
AR Portal Game: [ Ссылка ]
Personal Avatar (12h): [ Ссылка ]
Kamehameha: [ Ссылка ]
AR Fireworks: [ Ссылка ]
Learn Machine Learning: [ Ссылка ]
AR Theremin: [ Ссылка ]
Matrix Rain T-Shirt: [ Ссылка ]
AR Lightsaber: [ Ссылка ]
Spiderman's Web Shooters: [ Ссылка ]
AR Torch: [ Ссылка ]
GPS Distance: [ Ссылка ]

My videos with other distances:
Tree measuring app: [ Ссылка ]
Distance measuring app: [ Ссылка ]

#SoME3

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