Cost Function In Machine Learning With Example | Machine Learning Tutorial | Simplilearn
UDAO
About this course
This course delves into the critical concept of cost functions in machine learning, explaining their necessity and role in model performance evaluation. Key topics include cost functions for linear regression, gradient descent optimization for linear regression and neural networks, and practical examples demonstrating how cost functions guide machine learning models to minimize prediction errors.
What you should already know
A basic understanding of machine learning concepts and linear algebra is required before taking this course.
What you will learn
Learners can expect to gain a comprehensive understanding of cost functions, their importance in machine learning, and how to apply gradient descent to optimize model accuracy by the end of the course.