Machine Learning and Deep Learning
Degree program: MSc Business Analytics and Data Science
In this module, students will be equipped with advanced skills and knowledge in the area of data science. Similar to the fundamental course, this module covers a wide range of topics, blending theoretical foundations with hands-on practical experience. The key focus of this module is deep learning, starting with simple neural networks, but also covering state-of-the-art deep learning architectures for both discriminative and generative tasks.
On successful completion of this module, the students will be able to:
• understand and apply deep learning architectures, enabling them to build, evaluate, and optimize predictive models for diverse applications
• know how systematically select, evaluate, and improve deep learning architectures
• use deep learning for a wide range of tasks including, prediction, classification, and generation
Course facts
Offered by | Prof. Dr. Asvin Goel |
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ECTS credits | 5 Credit Points |
Tracks | Standard Track, Fast Track |
Method of examination | 100% Project Work |