spacy
14 hours (usually 2 days including breaks)
Audience
이 강사 주도의 실시간 교육 (현장 또는 원격)은 패턴을 찾고 통찰력을 얻기 위해 매우 많은 양의 텍스트를 처리하기 위해 spaCy를 사용하려는 개발자와 데이터 과학자를 대상으로합니다.
이 훈련이 끝나면 참가자는 다음을 할 수 있습니다.
코스 형식
코스 사용자 정의 옵션
Machine Translated
Introduction
Installing spaCy
spaCy Components
Overview of spaCy Features and Syntax
Understanding spaCy Modeling
Using the SpaCy Command Line Interface (CLI)
Creating a Simple Application to Predict Behavior
Training a New Statistical Model
Loading the Model
Saving the Model
Providing Feedback to the Model
Updating the Model
Developing a Generalized Theory for Expected Outcomes
Case Study
Refining the Training Data
Other Training Styles
Using spaCy to Pre-process Text for Deep Learning
Integrating spaCy with Legacy Applications
Testing and Debugging the spaCy Model
Deploying the Model to Production
Monitoring and Adjusting the Model
Troubleshooting
Summary and Conclusion
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