Calculus for Machine Learning and Data Science
Completed by Efekan Tosmak
July 17, 2024
26 hours (approximately)
Efekan Tosmak'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: Derivatives
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Numerical Analysis
- Category: Deep Learning
- Category: Advanced Mathematics
- Category: Calculus
- Category: Machine Learning
- Category: Software Visualization
- Category: Machine Learning Methods
- Category: Applied Mathematics
