Certified Specialist Programme in Machine Learning for Natural Language Processing
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- Introduction to Natural Language Processing
- Text Preprocessing and Feature Engineering for NLP
- Machine Learning Models for NLP: Classification and Regression
- Deep Learning Architectures for NLP: RNNs, LSTMs, Transformers
- Natural Language Understanding (NLU) and its applications
- Natural Language Generation (NLG) and its applications
- Evaluation Metrics for NLP Systems
- Building NLP Pipelines and deploying NLP models
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Career Roles in NLP (UK) Description NLP Machine Learning Engineer Develops and deploys advanced machine learning models for natural language processing tasks, focusing on cutting-edge techniques.
High demand in UK tech.
NLP Data Scientist Analyzes large datasets, extracts insights using natural language processing , and builds predictive models using machine learning algorithms.
Crucial role in many sectors.
NLP Linguist Applies linguistic expertise to improve the performance of natural language processing systems; bridges the gap between computational linguistics and machine learning .
Growing importance.
NLP Research Scientist Conducts research and development on novel natural language processing and machine learning algorithms.
Essential for pushing technological boundaries.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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