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Target audience and presentation
This program is designed for professionals in the fields of data science and computer science, or for any scientist or technical or managerial profile with prior knowledge of linear algebra, probability, statistics, and programming (Python), who wish to acquire operational skills in artificial neural networks and deep learning.
The program also teaches participants how to deploy deep learning solutions in an ethical and responsible manner. Finally, the program aims to strengthen and promote 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 complex problems from a human perspective is only about ten years old. It was at this time that the growth in computing power was able to meet the high computational demands of new algorithms, their optimization, and the increase in data flows.
Today, Internet giants (Amazon, Google, Facebook, etc.) use deep learning to segment their users and recommend content that is likely to generate 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 miniaturization of graphics processors capable of training deep neural network models.
Object detection, medical diagnostics, voice recognition, archive restoration, risk prediction and prevention: companies can now build their business models around innovative deep learning applications.
