The EASIEST Way to Understand Uniform & Gaussian Distribution (Bayesian ML)

Struggling to understand probability distributions in machine learning? This video breaks down the Uniform Distribution and the Normal (Gaussian) Distribution in the simplest way possible — with pure intuition, no heavy math.

We start with the Uniform Distribution, where every value is equally likely, and learn how probability becomes just the length of an interval. Then we move to the Normal Distribution, the most important distribution in statistics, known for its bell-shaped curve.

You’ll understand:

What a uniform distribution really means (flat probability)
How probability is calculated using area
Why the height becomes 1/(b − a)
How the normal distribution works intuitively
The role of mean and variance
Why the bell curve appears everywhere
What standardization and Z-score actually do
Why these distributions are critical in Bayesian Machine Learning

This video is perfect for:

Machine Learning beginners
Students learning probability & statistics
Anyone struggling with Gaussian distribution intuition
Bayesian ML learners

By the end, you’ll clearly understand how these distributions work — and more importantly, why they matter.

Видео The EASIEST Way to Understand Uniform & Gaussian Distribution (Bayesian ML) канала LearningHub