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Matt Dancho shares his 2026 AI data science stack including free tools like Python, Pandas, Scikit Learn, LangChain, and LangGraph, plus a low-cost OpenAI API, and promotes a free live teaching session.
Promotion for the fourth edition of 'Python Machine Learning By Example' by Yuxi (Hayden) Liu, covering best practices and advanced ML techniques with TensorFlow, PyTorch, and scikit-learn.
pynear 2.3 is a fast KNN library with SIMD acceleration and drop-in compatibility with scikit-learn, offering exact and approximate cosine indices and outperforming Faiss on binary descriptors in some contexts.
bde is a Python package that brings sampling-based Bayesian Deep Learning to practitioners via the MILE method, combining JAX's speed with scikit-learn's API for tabular supervised learning tasks.