Content
- (Semi) handcrafted RSS
- A Gibbs Sampler in Crystal
- A simple Python benchmark exercise
- A streaming ALS implementation
- Ansible
- Bayesian estimation of changepoints
- Brutalist Web Design
- Clojure
- Containerised Streaming Data Generation using State-Space Models
- Containers
- Cookiecutter Data Science
- Counterfactual Fairness
- Counterfactuals
- Counterfactuals with Constraint Solvers
- Deno
- Digital Garden
- Distance metrics
- DOOM Emacs Go
- Dunn index
- Emacs
- Error metrics
- Explainability
- Gemini
- Git
- Go
- Go filesystem operations
- Go resource bundling
- GPG
- Gradient-free optimisation
- gulp
- Hill-climbing optimisation
- index
- Introduction to Balanced Box-Decomposition Trees
- Introduction to Isolation Forests
- Java
- Java Completable Futures
- Java consumer
- jupytext
- K-means clustering
- Langton's Ant
- Linux admin
- Machine Learning
- MCMC notifications
- MCMC performance on Substrate VM
- Monotonic Cubic Spline interpolation (with some Rust)
- OOB score in random forests
- OptaPlanner
- Optimising random forest hyperparamaters
- Pandas
- Pandas basics
- Portuguese Christmas recipes
- Python
- Python environments
- Python grammar of graphics
- Python monkey patching (for readability)
- Python Pandas
- Python Pweave
- Rust
- Rust exercises
- Scikit-learn
- Serving models with Seldon
- Shell configurations
- Site details
- SSH
- Synthetic Data Generation
- Synthetic Data Generation with SDV
- Synthetic data with SDV and CopulaGAN
- Synthetic data with SDV and CTGAN
- Synthetic data with SDV and Gaussian copulas
- t as mixture of Normals
- Vim keys
- Workflow