April 2019
Intermediate to advanced
544 pages
17h 29m
English
Content preview from Natural Language Processing in ActionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Glossary
We’ve collected some definitions of common natural language processing and machine language acronyms and terminology here.[1]
You can find some of the parsers and regular expressions we used to help generate this list in the nlpia Python package at github.com/totalgood/nlpia (https://github.com/totalgood/nlpia).[2] This listing shows how we used nlpia to draft this glossary:
>>> from nlpia.book_parser import write_glossary
>>> from nlpia.constants import DATA_PATH
>>> print(write_glossary(
... os.path.join(DATA_PATH, 'book'))) ❶ == Acronyms [acronyms,template="glossary",id="terms"] *AGI*:: Artificial general intelligence -- *AI*:: Artificial intelligence -- *AIML*:: Artificial Intelligence Markup Language -- *ANN*:: Approximate nearest ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.