Cost function explained(Maths behind AI)

What is a Cost Function and why is it important in Artificial Intelligence? In this video, we visually explain the concept of a **cost function** (also known as a loss function), one of the most important components in Machine Learning and Deep Learning. A cost function measures how far a model’s predictions are from the actual values. It provides a numerical way to evaluate the performance of a model and guides the learning process by indicating how much error needs to be minimized. Through simple visual animations, this video demonstrates how cost functions work and how they are used together with optimization algorithms like Gradient Descent to improve model accuracy. In this video you will learn: • What a cost function is • Difference between cost function and loss function • How error is calculated in machine learning • How cost functions guide model training • Why minimizing cost is essential for AI models Understanding cost functions is a key step in learning how AI models improve their predictions and learn from data. This channel explains AI concepts using clear visual explanations to make complex ideas simple and intuitive. Subscribe for more videos on: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, and the mathematics behind AI. #artificialintelligence #machinelearning #costfunction #aiexplained #agenticai #generativeai