Artificial Intelligence And Machine Learning: Advanced Applications Of Neural Networks And Deep Learning
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
16th July - 5th August
The best lesson I have had so far was at the beginning of the course when we studied Game Theory, and when we did presentations in class about shops or platforms that we had to imagine ourselves.
The best thing about the Medicine course was the interactivity of the lectures. My tutor was really interested in the subject, so I always felt like I could go up to her and ask her questions, whether they were about what we were learning or about other areas of biotechnology.
The course gave me an insight into how to make arguments in support of or against certain positions which is useful in law and the tutor assisted me in how to structure these arguments. I've enjoyed the company of having a roommate and that you make so many new friends.
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