After understanding Statistical NLP,it is time to understand how to work with Recurrent neural networks & LSTMs to process and derive inference out of the text data.
Data modeling is an essential part of the data science pipeline. This, combined with the fact that it is an advantageous process, makes it the one that often receives the most attention among data science learners. However, things are not as simple as they may seem, since there is much more to it than applying a function from a particular class of a package and applying it on the data available.
In this course, you will learn about sequential data and understand the mechanisms of RNNs & LSTMs so that you can start working on the text data.