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NLP engineer learning summary and index
2022-07-05 12:39:00 【NLP journey】
Summary
Recently, I am going to summarize the content of Algorithm , Because it does natural language processing , Divide according to the learning path :
- Data structure and basic algorithm
- machine learning
- natural language processing
These three parts , Among them, the data structure and basic algorithm summarize the common data structure and sorting 、 search algorithm . Refer to the summary of the great God leetcode 101 Answer key . Machine learning uses teacher Li Hang's 《 Statistical machine learning 》 The second edition 、DL Bible 《 Deep learning 》、 Zhou Zhihua's watermelon book 《 machine learning 》. Natural language processing is a summary of some specific natural language processing tasks . Stand here flag, Do not set the end time , As a long-term project study summary plan .
Data structure and basic algorithm
Data structure and basic algorithm are based on 《LeetCode 101: With you, you can easily brush questions 》 As the research object , Learn the data structure and algorithm, and in leetcode Brush questions on the actual battle . Finally, all the topics mentioned in the book are summarized .
machine learning
Machine learning is based on Teacher Li Hang's 《 Statistical machine learning 》 and 《 Deep learning 》 And the latest major breakthrough papers are the main learning resources , Focus on learning model algorithms that are highly related to natural language processing .
natural language processing
Naturallanguageprocessing takes tasks or naturallanguageprocessing projects encountered in your daily work as the object , Summarize the model algorithm used in this task .
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