Word Embedding and Word2Vec, Clearly Explained!!!

Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most popular methods for assigning numbers to words is to use a Neural Network to create Word Embeddings. In this StatQuest, we go through the steps required to create Word Embeddings, and show how we can visualize and validate them. We then talk about one of the most popular Word Embedding tools, word2vec. BAM!!!

Note, this StatQuest assumes that you are already familiar with...
The Basics of how Neural Networks Work: https://youtu.be/CqOfi41LfDw
The Basics of how Backpropagation Works: https://youtu.be/IN2XmBhILt4
How the Softmax function works: https://youtu.be/KpKog-L9veg
How Cross Entropy works: https://youtu.be/6ArSys5qHAU

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0:00 Awesome song and introduction
4:25 Building a Neural Network to do Word Embedding
8:18 Visualizing and Validating the Word Embedding
10:42 Summary of Main Ideas
11:44 word2vec
13:36 Speeding up training with Negative Sampling

#StatQuest #word2vec