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Site map
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All 227 links are listed.
Work
Case studies13
More projects26
- NSW Strata Law Guide
- brewscope
- Timezone Calendar Visualisation
- Data Engineer BootCamp
- Life System Template
- WeChat Style Distiller
- SA & AU Open Data Atlas
- Gmail Labeler
- Ranking Radar
- EM Algorithm, Explained
- SA Gaming Machine Statistics
- SA Address Generator
- US Political Data
- Lecture Revision Lab
- Climate Fact-Checker
- Self-Driving Databases
- Social Media Analytics
- Twitter HPC Analysis
- ENSO Climate Risk
- 40 Reps, Re-checked
- Cachex AI
- Project Cradle
- HPLC Pipeline
- PCRM
- NYC Taxi Analysis
- rin.contact
Coursework labs26
- COMP10001 Playground
- Louvre Ops DB
- Message Cleanser
- K-d Tree Explorer
- Data Processing Lab
- MAST20005 Statistics Lab
- Recipe Timer Lab
- Snacks in a Van
- NYC Taxi 2019
- Source Separation Lab
- HPLC QC Lab
- 4399 CRM
- Battery Arbitrage Lab (practice task)
- Cachex Arena
- Human or Machine?
- Spartan Tweet Cruncher
- Social Sense
- Bandit Lab
- GLM Playground
- Self-Driving DB Lab
- CompStats Playground
- Four Roads to a Posterior
- Multivariate Lab
- Climate and the Price of Bread
- NLP Playground
- Climate Claim Checker
Learn
Knowledge topics90
- Linear Algebra
- Probability
- Statistics
- Calculus & Optimisation
- Gradient Descent Variants
- Linear Statistical Models
- Database Systems
- Functional Dependencies
- Artificial Intelligence
- Alpha-Beta Pruning
- Auctions and Mechanism Design
- CSPs and Map Colouring
- Web Information Technology
- REST vs GraphQL
- Operations Research
- Elements of Data Processing
- Applied Data Science
- Data Visualisation & Perception
- Grammar of Graphics
- Feature Engineering & Data Preparation
- Sampling & Survey Methodology
- SQL & Querying Data
- Model Evaluation & Validation
- Thresholds and ROC-AUC
- Natural Language Processing
- Statistical Machine Learning
- Risk and PAC Learning
- Bayesian Statistics
- PCA & Dimensionality Reduction
- Autoencoders vs PCA
- Clustering
- Cluster & Cloud Computing
- Amdahl's vs Gustafson's Law
- Running Jobs on Spartan
- CAP, Sharding and Replication
- VMs vs Containers
- Statistical Modelling
- Goodness of Fit in GLM
- Computational Statistics
- Advanced Database Systems
- Science Communication at Work
- Time Series Analysis
- Filling Gaps in Time Series
- Causal Inference & A/B Testing
- Study Designs
- Deep Learning & Neural Networks
- Reinforcement Learning
- Exploration vs Exploitation
- Learning with Expert Advice
- Ensemble Methods & Gradient Boosting
- Recommender Systems
- Survival Analysis
- Information Retrieval & Search
- Large Language Models
- Topic Modelling
- AI Agents & Tool Use
- Spatial Statistics
- Conformal Prediction & Uncertainty
- Causal Discovery
- State-Space Models & the Kalman Filter
- Active & Semi-Supervised Learning
- Extreme Value Theory
- Hierarchical & Mixed-Effects Models
- Optimisation Methods
- Gaussian Processes
- Robust Statistics
- Quantile Regression
- Graph Neural Networks
- Graph Convolution Layer
- Probabilistic Graphical Models
- Business Intelligence & Dashboards
- Geospatial Analysis & GIS
- Intelligence Analysis & OSINT
- Data Governance, Privacy & Ethics
- Synthetic Data
- Anomaly Detection
- Network & Graph Analysis
- Reproducibility & Analytical Pipelines
- MLOps & Model Monitoring
- Explainable AI & Interpretability
- Marr's Three Levels
- Fairness & Bias in ML
- Differential Privacy
- Knowledge Graphs
- Streaming & Real-Time Analytics
- Data Architecture & the Modern Stack
- Statistical Process Control
- Federated Learning
- Data Science mentoring themes
- EdTech & the Science of Learning
Data science explainers20
- Model Card: Rin Huang
- Feature Importance
- Confusion Matrix
- Ensemble Model
- Bias–Variance Tradeoff
- Training Curves
- Career as Data Pipeline
- Survival Analysis
- Version Control for Your Life
- Null Hypothesis Test
- Regression to the Mean
- A/B Test Results
- P-Hacking (Satire)
- Exploratory Data Analysis
- Recommendation Engine
- NLP Sentiment Analysis
- Overfitting Detector
- Data Drift Detected
- CI/CD for Your Career
- Technical Debt
Blog posts20
- I Audited My Own Coursework. A Lookup Table Won.
- What AI Didn't Automate
- A Trend Line Is Not a Trend
- Put AI Governance on the Request Path, Not in a Document
- A Forecast Is a Statement About Uncertainty, Not the Future
- Analytics Tells You What Happened. Intelligence Tells You What To Do.
- Mentoring Made Me a Better Analyst
- Building Something Workable When There Is No Playbook
- When the Categories Change Underneath You
- The Dashboard Is Not the Deliverable
- The Case for the Deliberate Generalist
- Reproducibility Is a Feature, Not a Chore
- 208 Applications. One Yes. What the Data Says About Job Hunting.
- Academia, Internships, Industry: Three Worlds, Three Lessons
- I Let Claude Build My Blog. Here's What Happened.
- My Inbox Had 3,000 Unread Emails. So I Built an AI Agent to Triage It.
- I Let AI Build a Business App. It Worked. But Was I Thinking?
- Hello World — Knowledge Compounds
- I Built an AI Fact-Checker for Climate Claims. Here's What I Learned.
- 2024, New Year, New Milestone