Скачать или смотреть Probability Basics to Independent & Dependent Events Explained | Math for Machine Learning

Welcome back to the Math for Machine Learning Series — where we simplify the math that powers artificial intelligence and data science.

In this detailed yet easy-to-follow video, we’ll walk you through the entire foundation of probability — starting from what a random experiment is, to understanding independent and dependent events.
Whether you’re a student, a beginner in AI, or someone brushing up your fundamentals, this episode builds your intuition step by step.

These fundamental probability concepts are not just theory — they’re the mathematical backbone of AI and data science.

Understanding events, independence, and dependence is crucial for models like:

Naive Bayes Classifier

Bayesian Networks

Markov Chains

Probabilistic Graphical Models
and even stochastic optimization algorithms.

Probability teaches us how to reason under uncertainty — the very thing machines are designed to do in the real world.

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