#machine-learning

  • KNN K Nearest Neighbors
    Strategies for keeping K-Nearest Neighbors robust against outliers, from preprocessing and tuning K to weighting neighbors and choosing distance metrics.
  • AI Tools And Resources
    A large curated list of AI tools, ML/DL courses, tutorials, datasets, and miscellaneous bookmarks.
  • Learning Resources
    Curated courses, tutorials, and articles for learning AI, machine learning, MLOps, and LLMs.
  • Development Frameworks
    Guide to JAX (autodiff, JIT, vectorization, scaling) plus a curated list of LLM application frameworks, agent tooling, and supporting libraries.
  • Laravel AI SDK
    Laravel's first-party AI SDK (laravel/ai) — a unified PHP API for agents with tools and structured output, images, audio, transcription, embeddings, reranking, classification, vector stores, and human tool approval.
  • XGBoost Tips And Tricks
    Summary of Kaggle Grandmaster Chris Deotte's XGBoost experience, from data science foundations and tuning to scaling on GPUs and deploying with refit and cuML FIL.