課程代碼
nlp
課程時長
21 時間： 同常來說包括休息是 3天
最低要求
No background in NLP is required.
Required: Familiarity with any programming language (Java, Python, PHP, VBA, etc...).
Expected: Reasonable maths skills (A-level standard), especially in probability, statistics and calculus.
Beneficial: Familiarity with regular expressions.
概觀
本課程專為有興趣從書面英語文本中提取意義的人設計，儘管知識也可以應用於其他人類語言。
該課程將介紹如何使用人類撰寫的文本，如博客文章，推文等...
例如，分析師可以設置一種算法，該算法將根據廣泛的數據源自動得出結論。
Machine Translated
課程簡介
Short Introduction to NLP methods
- word and sentence tokenization
- text classification
- sentiment analysis
- spelling correction
- information extraction
- parsing
- meaning extraction
- question answering
Overview of NLP theory
- probability
- statistics
- machine learning
- n-gram language modeling
- naive bayes
- maxent classifiers
- sequence models (Hidden Markov Models)
- probabilistic dependency
- constituent parsing
- vector-space models of meaning
客戶評論
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我們的客戶
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We are looking to expand our presence in Taiwan!
As a Business Development Manager you will:
- expand business in Taiwan
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We offer:
- Artificial Intelligence and Big Data systems to support your local operation
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If you are interested in running a high-tech, high-quality training and consulting business.
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