July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Basic concepts of linear algebra for NLP
In this section, we will not look at all the linear algebra concepts in great detail. The purpose of this section is to get familiar with the basic concepts. Apart from the given concepts, there are many other concepts that can be used in NLP applications. Here, we will cover only the much needed concepts. We will give you all the necessary details about algorithms and their mathematical aspects in upcoming chapters. Let's get started with the basics.
There are four main terms that you will find consistently in NLP and ML:
- Scalars: They are just single, the real number
- Vectors: They are a one-dimensional array of the numbers
- Matrices: They are two-dimensional arrays of the numbers
- Tensors: They are ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.