In this chapter, we learned about machine learning for NLP and word embedding in detail, along with its applications. We also covered GloVe in detail, which involved global matrix factorization and using the GloVe model.
In the next chapter, we will introduce a more sophisticated type of network, recurrent neural networks (RNNs), as well as the math and the concepts behind them.