kevencarneiro/natural-language-processing-learning-path

An on-going guide of how to learn Natural Language Processing, with some things that I learned but realized that is hard to find out there.

Natural Language Processing Learning Path

An on-going guide of how to learn Natural Language Processing, with some things that I learned but realized that is hard to find out there. I'll try to make this as most objective as possible, trying to focus on concepts and explain some tools in a quikly way.

Some of the content that I used to learn NLP

Free content

• Advanced NLP with spaCy - Thanks to @ines for giving us this excellent content

Paid content

• Udacity Natural Language Processing Nanodegree

IN PROGRESS: Suggestion of a zero-to-hero path

Basic Level

Python

• What? Data structures, variables, list manipulation, conditional expressions and loops

• Why? Python is a easy language to learn and much domain specific libraries have support to it

• How? TODO

Numpy

• What? Array manipulation: Multidimensional arrays and mathematical operations

• Why? Numpy is much faster and use less memory. As you'll be using billions of array elements, this will make significant difference. See more here

• How? TODO

Pandas

• What? Data manipulation, specially importing from csv and databases

• Why? Pandas let you handle data more easily and do some stuff at column level wihtout have to iterating loops See more here

• How? TODO