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Target audience and overview
This programme is designed for professionals in the fields of data science and IT, or for any scientist or technical or managerial professional with prior knowledge of linear algebra, probability, statistics and programming (Python), who wish to acquire practical skills in artificial neural networks and deep learning.
The programme also provides an opportunity to learn how to deploy deep learning solutions in an ethical and responsible manner. Finally, this programme aims to strengthen and foster collaboration between scientific teams and business departments within a company.
Although the theory of deep learning dates back to the mid-20th century, its application to solving problems that are complex from a human perspective has only emerged in the last decade or so. It was at this time that advances in computing power were able to meet the high computational demands of new algorithms, their optimisation and the increase in data flows.
Today, the internet giants (Amazon, Google, Facebook, etc.) use deep learning to segment their users and recommend content likely to ‘get clicks’. But in recent years, deep learning has also become accessible to everyone thanks to the development of open-source software, knowledge sharing and the miniaturisation of graphics processing units (GPUs), which are capable of training deep neural network models.
Object detection, medical diagnostics, speech recognition, archive restoration, risk forecasting and prevention: a company can now build its business model around an innovative application of deep learning.
