(HSMA 6 Day 10) 4A - Introduction to AI and Machine Learning

(1:35:56)

(HSMA 6 Day 10) 3D - Location Allocation Problems

(1:39:23)

(HSMA 6 Day 11) 4C - Ethics in AI

(1:58:36)

(HSMA 6 Day 9) 3B - Geopandas and plotting static maps in Python with matplotlib

(1:22:6)

(HSMA 6 Day 5) 1F Python Programming Part 2

(3:22:16)

(HSMA 6 Day 15) 5B - Named Entity Recognition

(1:58:13)

(HSMA 6 Day 6) 1G Python Programming Part 3

(2:27:19)

(HSMA 6 Day 17) 6B - An Introduction to Agent-Based Simulation

(1:51:11)

(HSMA 6 Day 17) 6A - System Dynamics

(1:31:14)

HSMA 6 1E - Intro to Python Part 1 - Exercise 2 (maths, conditional logic) - Solution

(35:40)

(HSMA 6 Day 13) 4I - Synthetic Data using SMOTE

(1:18:17)

HSMA 6 Hackathon : Hack to the Future Part 2

(53:25)

(HSMA 6 Day 8) 2C SimPy Part 2

(1:39:50)

(HSMA 6 Day 13) 4F Neural Networks

(1:51:)

(HSMA 6 Day 14) 4J - Optimising ML: Imputation, Feature Engineering \u0026 Selection, Hyperparameters

(1:9:10)

(HSMA 6 Day 8) 3A Intro to Geospatial Problems in Health \u0026 Geographic Visualisation using QGIS Pt 1

(2:1:33)

(HSMA 6 Day 2) : 1B Introduction to OR and Data Science and 1C Principles of Programming

(4:53)

(HSMA 6 Day 13) 4G Part 2/6 - Feature Importance in Logistic Regression \u0026 Odds/Log Odds/Probability

(21:1econd)