Calculus through Data & Modeling: Applying Differentiation
As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Maths Basics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The Threshold Is a Business Decision, Not a Statistical One
Medium · Machine Learning
Can Your Stress Level Predict How Much You Sleep?
Medium · Machine Learning
Role of Model Architecture In Inference — Inference Series
Medium · Machine Learning
Role of Model Architecture In Inference — Inference Series
Medium · Deep Learning
🎓
Tutor Explanation
DeepCamp AI