Executive Development Programme in AI-Driven Historical Research
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⢠Fundamentals of Artificial Intelligence (AI): Understanding the basics of AI, including machine learning, deep learning, natural language processing, and neural networks.
⢠AI Tools and Technologies: Exploring popular AI tools and technologies, such as TensorFlow, PyTorch, and Keras, and learning how to use them for historical research.
⢠Data Mining and Analysis: Learning how to collect, clean, and analyze large datasets using AI and machine learning techniques.
⢠AI-Driven Text Analysis: Understanding how to use AI to analyze text, including topic modeling, sentiment analysis, and named entity recognition.
⢠AI in Historical Research: Learning how AI is being used in historical research, including case studies and examples from various fields.
⢠Ethics and Bias in AI: Understanding the ethical considerations and potential biases in using AI for historical research, and learning how to mitigate them.
⢠AI in Cultural Heritage and Museums: Exploring how AI is being used in cultural heritage and museums, including applications in virtual reality, augmented reality, and gamification.
⢠AI Project Management: Learning how to manage AI projects, including planning, budgeting, and team management.
⢠Future of AI in Historical Research: Exploring the future of AI in historical research, including emerging trends and technologies.
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