Calculus for Machine Learning and Data Science
Completed by Victoria Shevchenko
November 18, 2024
26 hours (approximately)
Victoria Shevchenko'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: Machine Learning Software
- Category: Calculus
- Category: Derivatives
- Category: Data Visualization
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Computer Programming
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Model Optimization
