NLP engineer learning summary and index

Summary

Recently, I am going to summarize the content of Algorithm , Because it does natural language processing , Divide according to the learning path ：

1. Data structure and basic algorithm
2. machine learning
3. 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 .

1. Algorithm and data structure －－－ Sorting algorithm

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 .