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This course delves into the vast potential of Artificial Intelligence and Machine Learning in various fields, including finance, medicine, and manufacturing. Students who already possess foundational knowledge in this area will explore the possibilities of Generative Deep Learning, Graph Neural Networks, and Reinforcement Learning. They will use datasets to train networks to generate synthetic samples, design deep learning methods for structured data on irregular grids, and apply methods to train robots to interact with their environment. By the end of the course, students will have a solid foundation in advanced topics of Artificial Intelligence and Machine Learning for future study in the field.
1. Accommodation provided at Lady Margaret Hall College during the course
2. Breakfast, lunch, and dinner will be provided on teaching days
3. Graduation Formal Hall on the final evening with a special banquet in the Dining Hall
1. LMH Summer Programmes are created and taught by skilled academics and specialists from Lady Margaret Hall and University of Oxford
2.The courses are delivered using the Oxford teaching approach which highlights personalised small-group learning
3.The programme includes a range of class formats such as lectures, seminars, and tutorials
A pioneering and historic college of the University of Oxford with its own intellectually challenging summer school.
1. Accommodation provided at Lady Margaret Hall College during the course
2. Breakfast, lunch, and dinner will be provided on teaching days
3. Graduation Formal Hall on the final evening with a special banquet in the Dining Hall
1. LMH Summer Programmes are created and taught by skilled academics and specialists from Lady Margaret Hall and University of Oxford
2.The courses are delivered using the Oxford teaching approach which highlights personalised small-group learning
3.The programme includes a range of class formats such as lectures, seminars, and tutorials
Location:
Oxford
Fees from:
£3,725
Typical duration:
3 Weeks
Dates:
16th July - 5th August
Age Range:
-
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