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Masterclass Certificate in Natural Language Processing Basics Explained Simply
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CourseDetails
- Introduction to Natural Language Processing
- Text Preprocessing: Cleaning and Normalization
- Word Embeddings and Vector Representations
- Natural Language Processing (NLP) Applications in Machine Learning
- Recurrent Neural Networks (RNNs) for NLP
- Sentiment Analysis and Opinion Mining
- Named Entity Recognition (NER) and Part-of-Speech Tagging
- Building a Simple Chatbot using NLP Techniques
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Career Role (Natural Language Processing) Description NLP Engineer (Senior) Designs, develops, and implements NLP algorithms for advanced applications; strong industry experience required.
NLP Scientist (Mid-Level) Focuses on research and development of novel NLP techniques; academic background and research skills essential.
Machine Learning Engineer (NLP focus) Develops and deploys machine learning models, with a specialization in natural language processing applications.
Data Scientist (NLP skills) Extracts insights from large datasets using NLP techniques, including text analysis and sentiment analysis.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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