Calculus for Machine Learning and Data Science
Completed by Rifki Fadillah Akbar
May 19, 2026
26 hours (approximately)
Rifki Fadillah Akbar's account is verified. Coursera certifies their successful completion of Calculus for Machine Learning and Data Science
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
Skills you will gain
- Category: Model Optimization
- Category: Advanced Mathematics
- Category: Computer Programming
- Category: Machine Learning
- Category: Numerical Analysis
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Derivatives
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Deep Learning
