AIDAC-education
This is the YouTube channel of AI-Driven Design Automation and Computer-aided Engineering Lab (AIDAC), University of Glasgow, Scotland, led by Prof. Bo Liu. This channel provides AI education materials for science and engineering students.
025 - Data Preparation Overview
026 - Module 10： Introduction to Week 10's Study
030 - Support Vector Machines： Linear SVM of Soft Margin Classifier
028 - Support Vector Machine Fundamentals： Types of SVM
031 - Support Vector Machines： Non-Linear SVM
032 - Support Vector Machines： Multi-Class SVM
027 - Support Vector Machine Fundamentals： Concepts
029 - Support Vector Machines： Linear SVM of Hard Margin Classifier
041 - Neural Network Training： Forward Propagation
033 - Support Vector Machine Implementation： MATLAB Implementation of SVM
036 - Case Study 1： Banknote Classification (Linear SVM)
034 - Support Vector Machine Implementation： Iris Flower Example
039 - Artificial Neural Network Introduction： Introduction
038 - Module 11： Introduction to Week 11's Study
042 - Neural Network Training： Backward Propagation
037 - Case Study 2： Raisin Classification (Non-Linear SVM)
040 - Artificial Neural Network Introduction： ANN Structure
035 - Support Vector Machine Implementation： 2D Point Classification Example
044 - Underfitting and Overfitting： Concepts
048 - Tutorial： MATLAB Classification and Regression Learner Apps
051 - Tutorial： Regression Learner
045 - Underfitting and Overfitting： Methods to Improve Overfitting
002 - Module 4 Introduction to Week 4's Study
050 - Tutorial： Export Model
049 - Tutorial： Classification Learner
046 - ANN Implementation in MATLAB and Case Studies： Build an ANN Using MATLAB
043 - Neural Network Training： More on Neural Network Training
047 - ANN Implementation in MATLAB and Case Studies： A Case Study on Diabetes Diagnosis
006 - Optimization Objectives and Constraints： Multiple Objectives
012 - Case Studies (4)