Reflection on ML
Short reflection of the COMP3010 Machine Learning unit.
Tag
- COMP3010 13
- COMP3007 11
- COMP3011 9
- ai 5
- COMP3009 4
- COMP2007 3
- COMP2006 1
- interview 1
- aws 1
- ICTE3002 1
- acs 1
- ISAD3001 1
- calculus 1
- PHYS4004 1
COMP3010
BLEVE Project: Predicting Explosion Pressure with Machine Learning
Notes from the COMP3010 Machine Learning assignment.
Computer Vision and Natural Language Processing
Notes from the summary of COMP3010 Lecture 11, labs, and online resources.
Self-Supervised Learning
Notes from the summary of COMP3010 Lecture 10, labs, and online resources.
Clustering and Dimensionality Reduction
Notes from the summary of COMP3010 Lecture 9, labs, and online resources.
Transformers and Beyond
Notes from the summary of COMP3010 Lecture 8, labs, and online resources.
Convolutional Neural Network
Notes from the summary of COMP3010 Lecture 7, labs, and online resources.
Neural Networks Details
Notes from the summary of COMP3010 Lecture 6, labs, and online resources.
Neural Network Basics
Notes from the summary of COMP3010 Lecture 5, labs, and online resources.
Decision Tree and Bias-Variance Tradeoffs
Notes from the summary of COMP3010 Lecture 4, labs, and online resources.
Linear Classification
Notes from the summary of COMP3010 Lecture 3, labs, and online resources.
Linear Regression and Gradient Descent
Notes from the summary of COMP3010 Lecture 2, labs, and online resources.
Introduction to Machine Learning
Notes from the summary of COMP3010 Lecture 1, labs, and online resources.
COMP3007
Reflection on MP
Notes on the COMP3007 Machine Perception assignment and my reflection.
AI Ethics
Quick reference notes for the COMP3007 AI ethics content.
3D Perception
3D perception extends 2D vision into depth and spatial structure. Instead of just asking “what is in this image?”, we ask: “what does the 3D world look like?”
Motion and Tracking
Tracking extends perception from single images to video and dynamic scenes. Instead of just asking “what is this?”, we now ask: “where is it over time?”
Image Segmentation
Image segmentation divides an image into meaningful regions so that each region corresponds to a distinct object or part of an object.
Object Detection
Object detection goes beyond whole-image classification. It asks what objects are present and where they are, usually via bounding boxes.
Machine Learning for MP
Machine learning is the stage in the pipeline where features become decisions.
Feature Extraction
Feature extraction turns raw pixels into numerical descriptors that a machine can compare, match, and classify.
Feature Detection
Feature detection in computer vision, progressing from points and patches to edges and lines.
Image Processing
High-quality machine perception requires understanding image formation, anticipating imperfections, and applying suitable processing techniques.
Introduction to Machine Perception
Machine perception integrates sensing, preprocessing, feature extraction, and classification.
COMP3011
Reflection on WAF
Short reflection of the COMP3011 Web Application Frameworks unit.
Deployment with AWS
Notes from the summary of COMP3011 Lecture 11, and online resources.
Fullstack MERN Blog App
Notes from the COMP3011 Web App Frameworks assignment 3.
React: Sockets, Composition, Events and Routing
Notes from the summary of COMP3011 Lecture 8, 9, 10, and online resources.
Blog Web App with MongoDB and Pug
Notes from the COMP3011 Web App Frameworks assignment 2.
Node.js and Express
Notes from the summary of COMP3011 Lecture 6, 7, and online resources.
Bootstrap components
Notes from the summary of COMP3011 Lecture 4, 5, and online resources.
Django-based Task Manager
Notes from the COMP3011 Web App Frameworks assignment 1.
Framework and Django
Notes from the summary of COMP3011 Lecture 1, 2, 3 and online resources.
ai
Note on Attention, Transformers, and the New Linear Models
A Quick Note on Attention, Transformers, and the New Linear Models.
Google Cloud Security Summit 2025
Reflection on Google Cloud Security Summit Asia Pacific 2025
Reflection on AWS Certified AI Practitioner (AIF-CO1)
A reflection on completing my AWS Certified AI Practitioner (AIF-CO1).
Completion of Microsoft AI Skills for students program
A short reflection of Completion of Microsoft AI Skills for Students program.
Introduction to Model Context Protocol(MCP)
What is MCP? Model Context Protocol (MCP) is an open standard that allows AI models to connect to external tools and data sources seamlessly—without the need...
COMP3009
Reflection on Data Mining
Notes on the COMP3009 Data Mining assignment and my reflection.
Data Similarity and Distance
Similarity and distance measures are central to clustering, classification, and retrieval tasks.
Data Processing
Data preparation is a critical step in transforming raw, messy real-world data into a format suitable for data mining algorithms. Poor preparation leads to u...
Introduction to Data Mining
Data mining bridges data and knowledge, combining cleaning, analysis, and modeling to deliver actionable insights in real-world applications.
COMP2007
ALGOL and Pascal
Notes from the COMP2007 Lecture, and online resources.
Fortran and the Evolution of Programming Languages
Notes from the COMP2007 Lecture, and online resources.
Programming Paradigms and Evolution
Notes from the COMP2007 Lecture, and online resources.
COMP2006
Introduction to OS
Notes from the summary of COMP2006 Lecture 1, labs, and online resources.
interview
Summary of Geoffrey Hinton’s interview
Insights from Geoffrey Hinton on the Future of AI
aws
Reflection on AWSome Day Online Conference
On this day, I completed the AWSome Day Online Conference and deepened my understanding of AWS cloud technologies. The three‑hour workshop highlighted the im...
ICTE3002
Reflection on HCI
Short reflection of the ICTE3002 Human Computer Interface unit.
acs
ACS webinar: How to get a job in engineering
A short reflection on Webinar: How to Get a Job in Engineering.
ISAD3001
Reflection on Capstone Project
Short reflection on the year-long capstone computing project sequence, ISAD3000 and ISAD3001.
calculus
Fundamental Differentiation Rules
Quick Differentiation Rules
PHYS4004
Performance in HPC: Gnuplot & ARM map
Today’s workshop focused on exploring performance in a hybrid MPI/OpenMP application using tools such as Gnuplot and ARM Forge MAP.