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word embeddings are mathematical representations of text but of course that is easier said than done so in this video letamp;#39;s learn what word embeddings are how they are created and how you can start using them so the first question to arise of course is why do we need text embeddings at all well the problem is when youamp;#39;re working with nlp models you are working with text and text is not good for machine learning models they cannot deal with text they donamp;#39;t know what to do with it but what they know what to do with is numbers so thatamp;#39;s why you have to represent your text in a numbers format there are a bunch of ways how you can represent your text data and itamp;#39;s not only embeddings you can try using a hat encoded approach you can try using a count based approach or of course you can try using embeddings but before we get into embeddings letamp;#39;s learn what what one hot encoding is and also count based approaches are you might have heard of one
