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1. Introducing sqlite-vec v0.1.0: a vector search SQLite extension that runs everywhere

   Introducing sqlite-vec, a new SQLite extension for vector search written entirely in C. It's a stable release and can be installed in multiple ways. It runs on various platforms, is fast, and supports quantization techniques for efficient storage and search.

   2024-08-04 Tags: sqlite-vec, sqlite, vector search, embeddings, quantization, database, ann, knn, machine learning by klotz
2. 1.6. Nearest Neighbors — scikit-learn 0.24.2 documentation

   from sklearn.neighbors import NearestCentroid import numpy as np X = np.array( [-1, -1 » , -2, -1 » , -3, -2 » , 1, 1 » , 2, 1 » , 3, 2 » ]) y = np.array( 1, 1, 1, 2, 2, 2 » ) clf = NearestCentroid() clf.fit(X, y) NearestCentroid()

   print(clf.predict( [-0.8, -1 » ])) 1 »

   2021-09-02 Tags: knn, centroid, machine learning, numpy, python by klotz
3. Midnight Hack 5: Using Machine Learning to categorize Spotify playlists | by Sanat Dutta | Jun, 2021 | Towards Data Science

   2021-06-21 Tags: spotify, knn, random forest, machine learning, tsne, music, classification by klotz

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