Module 3 teaches basic knowledge in AI models including mathematical concepts that are relevant for “building blocks” of neural networks. Participants will learn about basic elements of AI models including e.g. data representations, strategies for optimization and methods for the evaluation of AI models.
Learning objectives
In this module participants gain a basic understanding of different learning problems and that learning an AI model corresponds to solving an optimization problem. They have active knowledge of appropriate evaluation techniques for AI modules and understand the mathematical concepts behind basic building block of a neural network and other AI approaches.
Learning content
The Fundamentals in AI cover an overview, representation in Machine Learning, discrimination and confidence, as well as learning, evaluation, generalization I and II. It also features deep feedforward networks and wrap-up & project-specific fundamentals.
Duration
The completion of this module takes approximately 10 weeks.
Credits
2 ECTS
Fee
The cost of this standalone module is 1'600.– SFr.
Reference
02.003
