AIDAC

Welcome to the specialization

Tutorial: Regression Learner

Tutorial: Export Model

Tutorial: Classification Learner

Tutorial: MATLAB Classification and Regression Learner Apps

ANN Implementation in MATLAB and Case Studies: A Case Study on Diabetes Diagnosis

ANN Implementation in MATLAB and Case Studies: Build an ANN Using MATLAB

Underfitting and Overfitting: Methods to Improve Overfitting

Underfitting and Overfitting: Concepts

Neural Network Training: More on Neural Network Training

Neural Network Training: Backward Propagation

Neural Network Training: Forward Propagation

Artificial Neural Network Introduction: ANN Structure

Artificial Neural Network Introduction: Introduction

Module 11: Introduction to Week 11's Study

Case Study 2: Raisin Classification (Non-Linear SVM)

Case Study 1: Banknote Classification (Linear SVM)

Support Vector Machine Implementation: 2D Point Classification Example

Support Vector Machine Implementation: Iris Flower Example

Support Vector Machine Implementation: MATLAB Implementation of SVM

Support Vector Machines: Multi-Class SVM

Support Vector Machines: Non-Linear SVM

Support Vector Machines: Linear SVM of Soft Margin Classifier

Support Vector Machines: Linear SVM of Hard Margin Classifier

Support Vector Machine Fundamentals: Types of SVM

Support Vector Machine Fundamentals: Concepts

Module 10: Introduction to Week 10's Study

Data Preparation Overview

Construct Training and Test Sets for Model Evaluation: Cross-Validation

Construct Training and Test Sets for Model Evaluation