In recent years, awareness of the great importance of data and its potential for future developments has become widespread across all sectors of the economy, institutions and academic disciplines. Driven by the availability of large volumes of data, the demand for highly qualified specialists to tackle the associated tasks and opportunities is therefore growing steadily.
As part of this development, the new academic field of data science has emerged from computer science, mathematics and statistics. A key pillar of this field is artificial intelligence (AI), specifically machine learning techniques, which make it possible to identify patterns and structures in ever-larger and often high-dimensional datasets and to put them to practical use. The potential applications of these methods are diverse and yield astonishing results. Indeed, these methods are already being used in many current applications, such as autonomous driving, speech recognition, search engines, various games and robotics.
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