Mathematics is the heart of Machine learning & Data Science
Mathematics is the Heart of Machine Learning & Artificial Intelligence pic.twitter.com/zqwzei9Pn3
— Zulqarnain Jabbar (@Zulq_ai) December 11, 2024
Why Mathematics is Important In ML & AI
Math is crucial in machine learning because it provides the foundation for understanding and building algorithms.
Here’s why:
Linear Algebra: Used for handling data, vectors, and matrices in model training and representation.
Calculus: Helps optimize models through techniques like gradient descent.
Probability and Statistics: Essential for making predictions, handling uncertainty, and evaluating models.
Algebra: Forms the basis for designing equations and relationships in algorithms.
Optimization: Enables efficient model training by minimizing errors.
In short, math helps create, understand, and improve machine learning models systematically and effectively.
