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2024 - 2025 |
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Term 1 courses from week of 30 September 2024
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC) (access to Gatsby Unit and SWC members only)
Kernel Methods and Theory of Machine Learning
Term 2/3 course from January 2025
Theoretical Neuroscience
Lectures are held in the SWC Ground Floor Lecture Theatre (25 Howland St) unless otherwise notified.
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2023 - 2024 |
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Term 1 courses from week of 2 October 2023
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning
Term 2/3 courses from week of 9 January 2024
Theoretical Neuroscience
Lectures are held in the SWC Ground Floor Lecture Theatre (25 Howland St).
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2022 - 2023 |
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Term 1 courses from week of 3 October 2022
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC) (access to Gatsby Unit and SWC members only)
Kernel Methods and Theory of Machine Learning
Term 2 courses from week of 9 January 2023
Theoretical Neuroscience - lectures are held in the Gatsby seminar room (3rd floor, SWC building)
Reinforcement Learning (CSML)
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2021 – 2022 |
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Term 1 courses
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning
Term 2
Theoretical Neuroscience
Reinforcement Learning (CSML)
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2020 – 2021 |
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Term 1 courses
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning
Term 2
Theoretical Neuroscience
Reinforcement Learning (CSML)
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2019 – 2020 |
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Term 1 courses from week of 30 September 2019
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning (co-taught with CSML)
Term 2 courses
Theoretical Neuroscience
Reinforcement Learning (CSML)
All lectures will be held in the Ground Floor Seminar Room, 25 Howland Street.
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2018 – 2019 |
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Term 1 courses from week of 1 October 2018
Probabilistic and Unsupervised Learning & Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning (co-taught with CSML)
Term 2 courses
Theoretical Neuroscience
Neural Data Modelling
All lectures are held in the Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG.
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2017 – 2018 |
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Term 1 courses from week of 2rd October 2017
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
Systems and Theoretical Neuroscience (co-taught with SWC)
Kernel Methods and Theory of Machine Learning (co-taught with CSML)
Term 2 courses
Systems and Theoretical Neuroscience (co-taught with SWC)
Neural Data Modelling
All lectures are held in the Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG.
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2016 – 2017
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Term 1 courses from week of 3rd October 2016
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
Term 2 courses from week of 23rd January 2017
Theoretical Neuroscience
Neural Data Modelling
All lectures are held in the Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG.
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2015 – 2016
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
Note: The courses will start on the 5th October 2015 and run in the same format as in previous years, but in a new location: Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG. |
2014 – 2015
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models |
2013 – 2014
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models |
2012 – 2013
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models |
2011 – 2012
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
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| 2010 – 2011
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Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
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| 2009 – 2010
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Theoretical Neurosience (part I)
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
Machine Learning II & Journal Club
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| 2008 – 2009
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Theoretical Neuroscience (part I)
Probabilistic & Unsupervised Learning
Machine Learning II |
| 2007 – 2008
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Theoretical Neuroscience (part I)
Probabilistic & Unsupervised Learning
Machine Learning II |
| 2006 – 2007
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Theoretical Neuroscience (part I)
Unsupervised Learning |
| 2005 – 2006
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Theoretical Neuroscience (part I)
Unsupervised Learning
Theoretical Neuroscience (part II) |
| 2004 – 2005
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Theoretical Neuroscience (part I)
Unsupervised Learning
Supervised Learning
Theoretical Neuroscience (part II) |
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