Remember Trigonometry? Thats how you use it in ML

📰 Medium · Data Science

Learn how trigonometry is used in machine learning to build a movie recommendation system using vectors, directions, and angles in a mathematical space.

intermediate Published 25 Apr 2026

Action Steps

Visualize movies as vectors in a mathematical space to represent their features.
Understand how direction and magnitude describe user preferences in vector space.
Calculate cosine similarity between vectors to measure user taste using angles.
Build a simple movie recommendation system using trigonometry and vector operations.
Apply this knowledge to real-world problems, such as building personalized recommendation systems.

Who Needs to Know This

Data scientists and machine learning engineers can benefit from understanding how trigonometry is applied in ML to build recommendation systems, which is a crucial aspect of many businesses, including e-commerce and entertainment.

Key Insight

💡 Trigonometry is used in machine learning to calculate cosine similarity between vectors, which represents the angle between them and can be used to measure user preferences and build recommendation systems.