When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Calculus for Machine Learning and Data Science
This course is part of Mathematics for Machine Learning and Data Science Specialization
Free
This Course Includes
coursera
4.8 (555 reviews )
26 hours (approximately) 
english
Online - Self Paced
course
DeepLearning.AI
About Calculus for Machine Learning and Data Science
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients .
- Approximately optimize different types of functions commonly used in machine learning.
- Visually interpret differentiation of different types of functions commonly used in machine learning.
- Perform gradient descent in neural networks with different activation and cost functions.