Calculus for Machine Learning and Data Science
Completed by HADI YASSER ABDELLATEEF AMEEN SALEH
April 28, 2024
26 hours (approximately)
HADI YASSER ABDELLATEEF AMEEN SALEH'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: Deep Learning
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Applied Mathematics
- Category: Derivatives
- Category: Python Programming
- Category: Machine Learning
- Category: Computer Programming
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Calculus
