Synced Tradition and Machine Learning Series | Part 3: Optimization Basics – Probabilities and Inference | Synced
Probability theory is a mathematical framework for quantifying our uncertainty about the world, and is a fundamental building block in the study of machine learning. The purpose of this article is ...
Source: Synced | AI Technology & Industry Review
Probability theory is a mathematical framework for quantifying our uncertainty about the world, and is a fundamental building block in the study of machine learning. The purpose of this article is to provide the vocabulary and mathematics needed before applying probability theory to machine learning tasks.
