From the course: Natural Language Processing in Python

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Setting expectations

Setting expectations

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Now, before we get started, let's set some expectations. First, this course covers both traditional and modern NLP. For the traditional piece, we're going to be talking about text preprocessing, as well as machine learning algorithms that are good for text data. And then for the modern piece, that's when we'll be introducing concepts such as neural networks, deep learning, transformers, and LLMs. If you're an experienced data scientist and you already know the traditional piece, feel free to jump ahead to the modern piece, starting with the neural network section. On the other hand, if you want to get a good general idea of the NLP space, I recommend that you take this course from beginning to end. In terms of the technical piece, we're going to be using Anaconda as our package and environment manager. We'll be talking a lot more about what that means exactly in the next section, but for the time being, just know that this is the software we'll be using throughout this course…

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