2022-23 Fall - MATH6914B - Reading Course: AI for Spatial Distributions Data

Course

Description

Use state-of-the-art algorithms to make data-driven decisions. Produce effective machine learning models by incorporating spatial data and location-infused algorithms. Bring together data from different sources, formats, and scales to train powerful spatial prediction models. Students should seek the course instructor’s approval to take this course.
Course period1/09/22 → 31/12/22
Course levelPG
Course formatLecture