Text Processing using Machine Learning
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Overview of University Programs
The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs include Executive Education, Graduate Programmes, Stackable Programmes, Blended Learning Programmes, and Corporate Programmes.
Executive Education
Executive Education Programmes are designed to build capabilities in infocomm and digital business. The programs cover various disciplines, including:
- Artificial Intelligence
- Cybersecurity
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- StackUp - Startup Tech Talent Development
Graduate Programmes
The university offers five practice-based graduate programmes focusing on information technology (IT) and data science. These programs include:
- Graduate Diploma in Systems Analysis
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- Master of Technology in Digital Leadership
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- Master of Technology in Software Engineering
Stackable Programmes
Stackable Programmes provide an alternative pathway to continuing education without disrupting one's career. The programs include:
- Graduate Certificates in:
- Data Science
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- Digital Leadership
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- Professional Diploma in:
- Health Service Transformation
Blended Learning Programmes
Blended Learning Programmes provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. The programs include:
- About
- Programmes
- Digitalisation Passport
Corporate Programmes
Corporate Programmes work with organisations to provide contextualised workplace training or customised learning experiences for employees. The programs include:
- Corporate Digitalisation
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- International Programmes
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- Skills For Transformation Programme
Course Details
The course "Text Processing using Machine Learning" is part of the Artificial Intelligence, Data Science, and Graduate Certificate in Practical Language Processing Series offered by NUS-ISS. The course covers:
- Classic DNN Models
- Attention & Transformer
- Sequence-to-Sequence & Encoder-Decoder Framework
- Transfer Learning with Pretrained LLMs
- Fine-Tuning LLMs
The course is designed for Data Scientists & Engineers, Analysts & Researchers, and Technology Enthusiasts. Prerequisites include foundational knowledge in text processing and predictive modelling with text data, strong programming skills using Python, and familiarity with packages like Numpy, Pandas, and Scikit-Learn.
Instructors
The course instructors are Dr. FAN Zhen Zhen and Dr. WANG Aobo, both from the Artificial Intelligence Practice at NUS-ISS.
Certificate
Participants who meet a minimum attendance rate of 75% and pass the assessment will be issued a Certificate of Completion.
Training Roadmap
The course is part of the training roadmap for Data Science and Artificial Intelligence. Participants can view the training roadmap to assess their training needs and goals.
