Calculus through Data & Modelling: Techniques of Integration

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Calculus through Data & Modelling: Techniques of Integration

Coursera · Intermediate ·📐 ML Fundamentals ·1mo ago
In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

I Built a Graph-Based SAS to PySpark Migration Accelerator. Here’s What I Learned.
Learn how to migrate SAS to PySpark using a graph-based accelerator and discover key takeaways from a real-world project
Medium · LLM
Python Programming Course in Delhi
Learn Python programming with a practical course in Delhi, designed for beginners and students
Medium · Python
Choosing the Right Architecture: A Software Engineer’s Field Guide to Neural Networks
Learn to choose the right neural network architecture for your AI project and understand the key considerations involved
Medium · Data Science
Chandra OCR 2: When Open Source Reads What Others Miss
Improve text extraction from documents with Chandra OCR 2, an open-source solution that outperforms others in accuracy
Medium · Machine Learning
Up next
Computational Thinking with JavaScript 2: Model & Analyse
Coursera
Watch →