NLP 权威教程翻译和学习

# Kaggle:

## Intro to NLP

Data comes in many different forms: time stamps, sensor readings, images, categorical labels, and so much more. But text is still some of the most valuable data out there for those who know how to use it.

数据有许多不同的类型： 时间戳，传感器读数， 图片， 分类标签， 以及更多的种种。但是text仍是对那些知道如何使用的人最有价值的数据。

In this course about Natural Language Processing (NLP), you will use the leading NLP library (spaCy) to take on some of the most important tasks in working with text.

在NLP这门课程中，你将使用在处理关于text的最重要的工作中最领先的NLP库(Spacy)。

(下来只翻译最重要的部分)

By the end, you will be able to use spaCy for:

• Basic text processing and pattern matching
• Building machine learning models with text（用text创建机器学习模型）
• Representing text with word embeddings that numerically capture the meaning of words and document（用数字化获得的words和document意义的单词）

To get the most out of this course, you‘ll need some experience with machine learning.

If you don‘t have experience with scikit-learn, check out Intro to Machine Learning and Intermediate Machine Learning to learn the fundamentals.

如果你没使用过scikit-learn, 检查机器学习概论和中级机器学习获得基础知识。

NLP 权威教程翻译和学习

原文：https://www.cnblogs.com/Neteraxe/p/13581944.html