Real-World Natural Language Processing: applied NLP

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If you’re browsing the web, using public APIs, making and receiving electronic payments, registering and logging in users, or experimenting with blockchain, you’re relying on cryptography. And you’re probably trusting a collection of tools, frameworks, and protocols to keep your data, users, and business safe. It’s important to understand these tools so you can make the best decisions about how, where, and why to use them. Real-World Cryptography teaches you applied cryptographic techniques to understand and apply security at every level of your systems and applications. Learn more about the book here: https://bit.ly/2KdJ2wo

Software

Applied Natural
Language
Processing
With Real-World Natural Language
Processing. Take 42% off by entering
slhagiwara into the discount code box
at checkout at manning.com.

Help computers understand text
Computers are good a lots of things
but making sense of human-written
text isn’t one of them.
You can help!
Natural language processing (NLP) is
a set of tools and algorithms that
help computers extract meaning
from text.
Turn to the next slide to find out
more.

Apply NLP in your projects today
Real-world Natural Language
Processing teaches you how to
create practical NLP applications
without getting bogged down in
complex language theory and the
mathematics of deep learning.
In it, you’ll explore the core tools
and techniques required to build a
huge range of powerful NLP apps to
help computers better understand
humans.
I saw a girl with a telescope…
How’s a computer to know which is right?
or

A practical guide
Real-world Natural Language
Processing teaches you how to create
practical NLP applications using
Python and open source NLP libraries
such as AllenNLP and Fairseq.
By the time you’re done, you’ll have
the skills to create named entity
taggers, machine translation systems,
spelling correctors, and language
generation systems.

Learn from an expert
Masato Hagiwara received his computer science PhD from Nagoya
University in 2009, focusing on Natural Language Processing and machine
learning. He interned at Google and Microsoft Research, and worked at
Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his
own consultancy business advising clients, including startups and research
institutions.
How a computer labels a sentence to better understand it

If you want to learn more
about the book, check it
out on liveBook here.
Take 42% off Real-World Natural
Language Processing by entering
slhagiwara into the discount code box
at checkout at manning.com.

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Real-World Natural Language Processing: applied NLP

1. Applied Natural Language Processing With Real-World Natural Language Processing. Take 42% off by entering slhagiwara into the discount code box at checkout at manning.com.

2. Help computers understand text Computers are good a lots of things but making sense of human-written text isn’t one of them. You can help! Natural language processing (NLP) is a set of tools and algorithms that help computers extract meaning from text. Turn to the next slide to find out more.

3. Apply NLP in your projects today Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In it, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps to help computers better understand humans. I saw a girl with a telescope… How’s a computer to know which is right? or

4. A practical guide Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. By the time you’re done, you’ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems.

5. Learn from an expert Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions. How a computer labels a sentence to better understand it

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Real-World Natural Language Processing: applied NLP

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