Calculus for Machine Learning and Data Science
Completed by Timur Kussainov
June 6, 2024
26 hours (approximately)
Timur Kussainov'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: Model Optimization
- Category: Mathematical Modeling
- Category: Computer Programming
- Category: Calculus
- Category: Data Visualization
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Applied Mathematics
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
