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Tutorial 11-Word2vec Word Embedding Indepth Intuition NLP- Krish Naik Hindi 

Krish Naik Hindi
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Word2Vec creates vectors of the words that are distributed numerical representations of word features - these word features could comprise of words that represent the context of the individual words present in our vocabulary. Word embeddings eventually help in establishing the association of a word with another similar meaning word through the created vectors.
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17 апр 2024

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Комментарии : 4   
@PreetiSri
@PreetiSri 3 месяца назад
Thanks for the easiest way to explain
@chirayumehta5114
@chirayumehta5114 2 месяца назад
PLease bring a sample project with proper pipelines like preprocessing and model training for a cchatbot. Love your content brother. Pleasse bring more videos here.
@sandeepsekhar1783
@sandeepsekhar1783 3 месяца назад
thank you sir for that☺☺
@wajihasheik3538
@wajihasheik3538 3 месяца назад
Sir continue this series
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