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Introduction to Machine Learning Summer School

21-23 June 2017

Organisers: Magnus Richardson (MathSys) and Chenlei Leng (OxWaSP)

Registration is now closed as the school is at capacity.

Scope of the Summer School

Machine Learning is a rapidly growing field that has recently seen significant advances in real-world applications. The school will provide an introduction to the themes and methods of the field through talks by leading experts and three tutorials. The target audience is numerate with basic programming abilities - no prior knowledge of machine learning will be assumed.
Tutorials - we will cover the very basics of Deep Neural Networks with instructions and examples given using the Jupyter Notebook environment. Basic knowledge of Jupyter Notebooks (and a little Python or Julia) would be an advantage before the tutorials begin - these are straightforward to pick up.
Pointers to on-line resources can be found on the Summer School tutorial page.

  Wednesday 21st June 2017
11.30am-12.30pm Registration in Complexity Common Room (Rm D1.07)
12.30pm-1pm Lunch outside D1.07
1pm-2pm Machine Learning and Human Health
Dr Christopher Yau, University of Birmingham (Rm MS.05)
2.30pm-5pm Tutorial 1 (Rm D1.07)
  Thursday 22nd June 2017
9.30am-12.30pm Tutorial 2 (Rm D1.07)
12.30pm-1.30pm Lunch outside D1.07
1.30pm-2.30pm Machine Learning: Past, Present and Future
Dr David Barber, UCL (Rm B3.03)
2.30pm-3.30pm Using NLP for mood prediction and opinion mining from online and heterogeneous data
Dr Maria Liakata, Warwick (Rm B3.03)
3.30pm-4.00pm Coffee outside D1.07
4pm-5pm Environment Simulators for Agent Planning
Dr Silvia Chiappa, Google DeepMind (Rm B3.03)
  Friday 23rd June 2017
9.30am-12.30pm Tutorial 3 (Rm D1.07)
12.30pm-1.30pm Lunch outside D1.07
1.30pm-2.30pm From “peak human” to “post human” - how will automation shift the economy?
Matthew Lawrence and Carys Roberts, Institute for Public Policy Research (Rm B3.02)
2.30pm-3.30pm Lipschitz Continuity for Inference and Decision Making
Dr Jan-Peter Calliess, Oxford (Rm B3.02)
3.30pm-4.00pm Coffee outside D1.07
4pm-5pm PDEs and variational approaches in inverse imaging and their adaption via learning
Dr Carola-Bibiane Schönlieb, Cambridge (Rm B3.03)
5pm Cheese and wine in Maths Common Room

There is no registration fee for the school, though we will not be able to provide accommodation or travel support for non-speakers. The workshop will take place at the Warwick Mathematics Institute and is hosted by the Mathematics for Real-World Systems and OxWaSP Centres for Doctoral Training, with support from the EPSRC and MRC under grant EP/L015374/1.

Aerial photograph of Maths Houses

See also:
Mathematics Research Centre
Mathematical Interdisciplinary Research at Warwick (MIR@W)
Past Events 
Past Symposia 

Internet Access at Warwick:
Where possible, visitors should obtain an EDUROAM account from their own university to enable internet access whilst at Warwick.
If you need WiFi whilst at Warwick, click here for instructions (upon arrival at Warwick)
You can register for any of the symposia or workshops online. To see which registrations are currently open and to submit a registration, please click here.
Mathematics Research Centre
Zeeman Building
University of Warwick
Coventry CV4 7AL - UK