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Certificate Programme in Machine Learning for Natural Language Generation
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课程详情
- Introduction to Natural Language Processing (NLP) and Natural Language Generation (NLG)
- Fundamentals of Machine Learning for NLG
- Text Preprocessing and Feature Engineering for NLG
- Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for text generation
- Transformer Networks and Attention Mechanisms for NLG
- Sequence-to-Sequence Models for NLG
- Evaluation Metrics for NLG Systems (BLEU, ROUGE, METEOR)
- Practical Applications of NLG (Chatbots, Machine Translation, Summarization)
- Ethical Considerations in NLG
- Advanced Topics in NLG (Reinforcement Learning for NLG, Controllable Text Generation)
职业道路
Career Roles in Natural Language Generation (NLG) Description Machine Learning Engineer (NLG) Develops and implements advanced machine learning algorithms for natural language generation tasks, focusing on model building and optimization.
High industry demand.
NLP Scientist Conducts research and development in natural language processing , focusing on NLG techniques.
Requires strong theoretical understanding and publication experience.
Data Scientist (NLG focus) Applies machine learning and statistical methods to large datasets to improve NLG models.
Strong data analysis and visualization skills are vital.
AI/ML Engineer (Conversational AI) Builds and maintains conversational AI systems using natural language generation techniques; creating chatbots, virtual assistants, and other interactive applications.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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