Monday, 27 May 2019, 9.00am to Tuesday, 28 May 2019, 5.00pm
Machine learning languages is an emerging topic developed to efficiently tackle machine learning problems that arise as data-size and model-complexity grow. Early languages such as BUGS have been highly influential in disease mapping, ecology, genetics and many other fields.
The Alan Turing Institute offers a number of places each year to motivated graduate students to receive full funding to undertake a PhD at the University of Cambridge. The Turing doctoral studentship scheme combines the strengths and expertise of world-class universities with the Turing’s unique position as the UK’s national institute for data science and artificial intelligence, to offer an exceptional PhD programme.
The Cambridge Big Data Strategic Research Initiative brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. Our research spans all six Schools of the University, from the underlying fundamentals in mathematics and computer science, to applications ranging from astronomy and bioinformatics, to medicine, social science and the humanities
In parallel, our research addresses important issues around law, ethics and economics, in order to apply Big Data to solve challenging problems for society.
Cambridge Big Data supports collaboration and knowledge transfer in this growing field.