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29:57
YouTube
bhupen
Beyond TF-IDF: Exploring BM25 for Enhanced Document Ranking and Vectorization
BM25, short for Best Matching 25, is an information retrieval algorithm designed to enhance the ranking of documents based on their relevance to a given query. Combining elements of both term frequency-inverse document frequency (TF-IDF) and probabilistic models, BM25 introduces nuanced parameters for better adaptability in real-world scenarios ...
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Shirin Khosravi Jam on Instagram: "Literally, 50% AI/ML don’t understand or not known to this! Let’s be more responsible in spreading knowledge. Before going through LLMs and hype, start here : 1️⃣ 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 ↳ Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow [Book] ↳ (Optional) Introduction to Statistical Learning [Book] — for statistics understanding 2️⃣ 𝗕𝗮𝘀𝗶𝗰 𝗡𝗟𝗣 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 ↳ Stopwords, Stemming, Lemmatization ↳ Bag of Words ↳ TF-IDF ↳ BM25 ↳ Word2V
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