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Shane Xie
Topics Covered
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Topics Covered
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Topics Covered
- Understanding the history of AI and robotics in healthcare.
- Exploring the features of human-robot interaction.
- Human centred design and challenges when designing robots for use in healthcare settings.
- Regulatory bodies and frameworks within AI and robotics.
- The pathway and process of commercialising healthcare robots.
- How robots are currently being used to assist patients.
- How robots can be used to assist clinicians.
- Exploring the future of robots in healthcare and whether it could result in a loss of human care.
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A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A free online book that provides a gentle introduction to machine learning, covering topics such as linear regression, logistic regression, and neural networks. Suitable for beginners with no prior knowledge of AI or machine learning.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
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A non-technical book that explores the global AI landscape, the impact of AI on society, and the ethical challenges that arise from the rapid development of AI technologies.
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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.
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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
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Explores the ethical and social implications of robotics, providing a comprehensive overview of the field.
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Provides a comprehensive overview of the field of human-robot interaction, covering topics such as design, development, and evaluation.
Provides a comprehensive overview of the field of human-robot interaction, covering topics such as design, development, and evaluation.
Explores the field of social robotics, covering topics such as design, development, and evaluation.
Provides a comprehensive overview of the field of human-robot interaction, covering topics such as design, development, and evaluation.
Explores the future of human-robot interaction, covering topics such as design, development, and evaluation.
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