Calculus through Data & Modelling: Integration Applications

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Calculus through Data & Modelling: Integration Applications

Coursera · Intermediate ·📐 ML Fundamentals ·1mo ago
Skills: Maths for ML90%
This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values. This notion of accumulation can be applied to different quantities, including money, populations, weight, area, volume, and air pollutants. The concepts in this course apply to many other disciplines outside of traditional mathematics. We will expand the notion of the average value of a data set to allow for infinite values, develop the formula for arclength and curvature, and derive formulas for velocity, acceleration, and areas between curves. Through examples and projects, we will apply the tools of this course to analyze and model real world data.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The GenAI Honeymoon is Over: The Brutal Realities of Production AI
The GenAI honeymoon is over, highlighting the importance of MLOps in production AI
Medium · Data Science
Quantization From First Principles: Build Your Own INT8 Inference Engine
Learn to build an INT8 inference engine from scratch and understand the fundamentals of quantization in machine learning
Medium · Machine Learning
Quantization From First Principles: Build Your Own INT8 Inference Engine
Learn to build an INT8 inference engine from scratch and understand the principles of quantization to optimize model performance
Medium · Data Science
Quantization From First Principles: Build Your Own INT8 Inference Engine
Learn to build an INT8 inference engine from scratch using quantization principles and Python
Medium · Python
Up next
Communicate Uncomfortably Much
Real Python
Watch →