NLP skill tree learning route - (I) route overview

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Preface

I happened to find a Korean brother sorting out NLP Learning route of ：nlp-roadmap, The coverage of knowledge points is very comprehensive . Because the contents are in English , The author re uses xmind Draw a learning roadmap , And combined with my own understanding , Translate some nouns into Chinese .

The author intends to follow this learning route , Check and fill the gaps in your knowledge system , And record your learning process in this series of articles . The purpose of this section is to post a learning roadmap for each section , Overview of what to learn .

probability statistics

Probability and statistics are the basis of artificial intelligence algorithms , The graph is divided into Bayes 、 information theory 、 Model 、 sampling 、 Five basic parts . The author's knowledge system is “ Basics 、 sampling 、 Bayesian part ” There are omissions , This part will be learned later .

machine learning

Machine learning algorithms are also NLP Cornerstone , Contains many basic concepts , The picture is divided into training 、 Dimension reduction 、 clustering 、 Non probability 、 Linear regression 、 Logical regression 、 Regularization seven parts . The author's knowledge system is “ Dimension reduction 、 clustering ” There are omissions , This part will be learned later .

NLP Data mining under

NLP Data mining under contains common NLP Data processing operations , The figure is divided into basic processes 、 Sequence annotation 、 Word embedding 、NLP Basic assumption 、 chart 、 Six parts of the document . The author's knowledge system is “ Theme model 、NLP Basic assumption 、 chart ” There are omissions , This part will be learned later .

NLP

This section formally introduces NLP Learning route of , It is divided into basic learning 、 Distributed features 、 Specific tasks 、 Four parts of the language model . The author's knowledge system has some defects in some specific models , This part will be learned later .