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University of Cambridge > Talks.cam > Cambridge Centre for Analysis talks > Real World Machine Learning Challenges: Present and Future
Real World Machine Learning Challenges: Present and FutureAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact CCA. Industrial Seminar Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in “artificial intelligence” that has dominated popular press headlines and is having a significant influence on the wider tech agenda. In this talk I will give an overview of where we are now with machine learning solutions, and what challenges we face both in the near and far future. These include practical application of existing algorithms in the face of the need to explain decision making, mechanisms for improving the quality and availability of data, dealing with large unstructured datasets. This talk is part of the Cambridge Centre for Analysis talks series. This talk is included in these lists:
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