Starting with Python 2.0 a new data type for storing text data is available to the programmer: the Unicode object.
使用词云图颜色编码特定主题和想法等技术有助于分析文本数据,以找到最常见的线程。
Using techniques like color coding specific themes and ideas helps parse textual data to find the most common threads.
重点将放在这些技术对高维数值数据,时间序列数据,图像数据和文本数据的实际应用。
An emphasis will be placed on the practical application of these techniques to high-dimensional numerical data, time series data, image data, and text data.
它是一种非常高级别,具备出色的能力去处理文本数据并与其环境相结合的语言。
It's a very high-level language with excellent facilities for manipulating textual data and integrating with its environment.
大部分人工智能工具都能轻松找到简单的图像和文本数据的模式,但科学数据的复杂性却是独一无二的。
Many AI tools can easily find patterns in simple image and text data, but scientific data is unique in its complexity.
我还希望看到这些主题旁边的一些非结构化分析,因为SO有成吨的文本数据附加到这些标记上.
I would also like to see some unstructured analytics alongside these topics as SO has a TON of text data attached to these tags.
中文
Bahasa indonesia
日本語
عربى
Български
বাংলা
Český
Dansk
Deutsch
Ελληνικά
Español
Suomi
Français
עִברִית
हिंदी
Hrvatski
Magyar
Italiano
Қазақ
한국어
മലയാളം
मराठी
Bahasa malay
Nederlands
Norsk
Polski
Português
Română
Русский
Slovenský
Slovenski
Српски
Svenska
தமிழ்
తెలుగు
ไทย
Tagalog
Turkce
Українська
اردو
Tiếng việt