Intelligent System Development

Welcome to the course SD7502: Intelligent System Development at Weltec.

Machine Learning focuses on creating systems that can learn from data and make intelligent decisions. By analyzing vast amounts of information, Machine Learning algorithms enable us to solve complex problems and make accurate predictions.

Deep Learning, a subfield of Machine Learning, is inspired by the human brain's neural networks. It uses multi-layered neural networks to process large-scale data and extract intricate features. Deep Learning has achieved remarkable breakthroughs in areas such as image recognition, natural language processing, and autonomous driving.

Artificial Intelligence encompasses both Machine Learning and Deep Learning. It involves the development of intelligent systems that can perceive, reason, learn, and make decisions similar to human intelligence. AI is now part of our daily lives, from voice assistants to personalized recommendations, and it has the potential to transform various industries.

In this course, we will explore the fundamental concepts of Machine Learning, Deep Learning, and Artificial Intelligence and how can we apply them to address real-world issues. This course is designed as a practice-based course for beginners.

Course Lectures

Lecture 1: Introduction

Lecture 2: Exploratory Data Analysis

Lecture 3: Supervised Machine Learning (Part 1)

1. Data Processing and Encoding

2. Conventional Machine Learning

Lecture 4: Supervised Machine Learning (Part 2)

1. Feature Engineering

2. Ensemble Learning

3. Customized Ensemble Model 

4. Modeling strategy

Lecture 5: Supervised Machine Learning (Part 3)

1. Dealing with class imbalance

2. Multi-class prediction

3. Explainable Machine Learning

Lecture 6: Unsupervised Machine Learning

1. Principal Component Analysis

2. Linear Discriminant Analysis

3. Clustering algorithms

Lecture 7: Deep Learning (Part 1)

1. Logistic Regression

2. Multilayer Perception

3. Deep Learning

4. Neural network Design