All pages

• 2022-07-01
  (Semi) handcrafted RSS
• 2022-07-01
  58 bytes of CSS to look great nearly everywhere
• 2022-07-01
  A Gibbs Sampler in Crystal
• 2022-07-01
  A simple Python benchmark exercise
• 2022-07-01
  A streaming ALS implementation
• 2022-07-01
  Anaconda
• 2022-07-01
  Ansible
• 2022-07-01
  Bayesian estimation of changepoints
• 2022-07-01
  Bots
• 2022-08-09
  Brutalist web design
• 2022-07-01
  Clojure
• 2022-08-09
  Coconut
• 2022-07-13
  Containerised Streaming Data Generation using State-Space Models
• 2022-07-24
  Containers
• 2022-07-01
  Cookiecutter data science
• 2022-07-01
  Correlation matrix
• 2022-07-13
  Counterfactual Fairness
• 2022-07-01
  Counterfactual Fairness in Java
• 2022-07-01
  Counterfactuals
• 2022-07-01
  Counterfactuals with Constraint Solvers
• 2022-07-01
  Deno
• 2022-07-01
  Deno types
• 2022-07-01
  Digital Garden
• 2022-07-13
  Distance metrics
• 2022-07-13
  DLIME
• 2022-07-01
  DOOM Emacs
• 2022-07-01
  Drools
• 2022-07-13
  Dunn index
• 2022-07-01
  Elisp
• 2022-07-01
  Elisp snippets
• 2022-07-01
  Emacs
• 2022-07-01
  Emacs cookbook
• 2022-07-01
  Emacs Quarkus
• 2022-07-01
  Error metrics
• 2022-07-01
  Explainability
• 2022-07-01
  Extending JUnit
• 2022-07-01
  Feature scaling
• 2022-07-13
  Fedora
• 2022-07-01
  Flask
• 2022-07-01
  Gemini
• 2022-07-01
  Git
• 2022-07-01
  Git cookbook
• 2022-07-13
  GitHub actions
• 2022-07-01
  Go
• 2022-07-01
  Go filesystem operations
• 2022-07-01
  Go resource bundling
• 2022-07-01
  Gower distance
• 2022-07-13
  GPG
• 2022-07-01
  GraalVM
• 2022-07-01
  Grad-CAM
• 2022-07-01
  Gradient-free optimisation
• 2022-07-01
  gulp
• 2022-07-01
  Hill-climbing optimisation
• 2022-08-06
  Hot Sauces
• 2022-07-01
  HTML
• 2022-07-01
  Hugo
• 2022-07-01
  Introduction to Balanced Box-Decomposition Trees
• 2022-07-13
  Introduction to Isolation Forests
• 2022-07-13
  Java
• 2022-07-01
  Java build systems
• 2022-07-01
  Java Completable Futures
• 2022-07-01
  Java consumer
• 2022-07-01
  Java streams
• 2022-07-01
  JPype
• 2022-07-13
  K-means clustering
• 2022-07-01
  k8s operators
• 2022-07-01
  KinD
• 2022-07-01
  KNative
• 2022-07-01
  Kompose
• 2022-07-01
  Kourier
• 2022-07-13
  Kubernetes
• 2022-07-01
  Kustomize
• 2022-07-01
  Langton's ant
• 2022-07-13
  LaTeX
• 2022-07-01
  Linux admin
• 2022-08-09
  Machine learning
• 2022-08-06
  Machines
• 2022-07-23
  Maven
• 2022-07-01
  MCMC notifications
• 2022-07-01
  MCMC performance on substrate VM
• 2022-07-01
  Minikube
• 2022-07-01
  Model fairness
• 2022-07-13
  Monotonic Cubic Spline interpolation (with some Rust)
• 2022-07-01
  Navi
• 2022-07-13
  Neovim
• 2022-07-01
  OOB score in random forests
• 2022-07-01
  OpenShift
• 2022-07-01
  Optimising random forest hyperparameters
• 2022-07-01
  Pandas
• 2022-07-01
  Pandas basics
• 2022-07-13
  Pikchr
• 2022-07-24
  Podman
• 2022-07-01
  Portuguese Christmas recipes
• 2022-08-09
  Python
• 2022-07-31
  Python Abstract classes
• 2022-08-07
  Python code style
• 2022-07-01
  Python environments
• 2022-07-01
  Python grammar of graphics
• 2022-07-28
  Python monkey patching (for readability)
• 2022-07-01
  Python Pandas
• 2022-07-01
  Python Pweave
• 2022-08-09
  Python typing
• 2022-07-01
  Quarkus
• 2022-07-01
  Random walk
• 2022-07-01
  Reading list
• 2022-07-01
  RHODS
• 2022-07-01
  ROC
• 2022-07-01
  Root Mean Squared Error
• 2022-07-01
  RSS
• 2022-07-01
  Rust
• 2022-07-01
  Scala
• 2022-07-01
  Scala cookbook
• 2022-07-01
  Scikit-learn
• 2021-11-28
  Search Results
• 2022-07-01
  Serving models with Seldon
• 2022-07-01
  Shell configurations
• 2022-07-01
  Shell tricks
• 2022-07-01
  Site details
• 2022-07-01
  SMILE library
• 2022-08-09
  Spearman correlation
• 2022-07-01
  SSH
• 2022-08-09
  Statistical dependence
• 2022-08-07
  Streaming anomaly detection
• 2022-07-01
  Streaming statistics
• 2022-07-01
  Syncthing
• 2022-07-01
  Synthetic Data Generation
• 2022-07-01
  Synthetic Data Generation with SDV
• 2022-07-01
  Synthetic data with SDV and CopulaGAN
• 2022-07-01
  Synthetic data with SDV and CTGAN
• 2022-07-01
  Synthetic data with SVD and Gaussian copulas
• 2022-07-01
  t as mixture of Normals
• 2022-07-13
  Thompson sampling
• 2022-07-01
  Thompson sampling
• 2022-08-07
  Time-series analysis
• 2022-07-01
  Transformation functions
• 2022-07-01
  Typography
• 2022-07-01
  Unfairness detection
• 2022-07-01
  Vim keys
• 2022-07-01
  Vue
• 2022-07-01
  Workflow
• 2022-07-01
  XGBoost
• 2022-07-01
  zsh