Advancement of Artificial Intelligence and Machine Learning
Artificial intelligence and machine learning have long since found their way into enormous parts of the industry. Success has most recently been accomplished in autonomous driving, medicinal image processing, and in a cyber-physical system. In the future, the Advancement of Artificial Intelligence (AI) such as Federated Learning will play an even bigger role in various industries and scenarios. To continue acceptable for this future, companies have to compact with the basics of AI and machine learning.
These basics are imparted in the workshop on Machine Learning, which bundles the sheer flood of information and offers you a compact overview of theory and practice in machine learning. You receive the hands-on knowledge you need to integrate the enormous potential of artificial intelligence into your product portfolio and value chain. This workshop is very practice-oriented. Half of it consists of applied exercises on a consistent topic. You will learn the relevant methods and practices around machine learning while focusing on artificial neural networks, the basis for deep learning.
Basics
- Introduction and definition of terms (Machine Learning, Artificial Intelligence, Federated Learning, Adversarial Machine Learning, Deep Learning, …)
- Presentation of the technologies used in the workshop, e.g. Python and MATLAB
Artificial Intelligence
- Practical Applications of AI
- Advancement of AI: Federated Learning
Machine Learning Methods
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Single-layer neuronal networks (perceptrons)
- Biological motivation
- From biological to artificial neurons
- Learning: optimization, gradient descent
- Classification of multiple classes
Basic terms & tools
- Loss functions
- Performance metrics
- Data partitioning
- Feature extraction, dimensionality reduction
- Overfitting and countermeasures
Practical aspects of Machine and Deep Learning Model in Research Applications
- Healthcare including different healthcare components
- Cyber Physical Systems including Cyber Security
TARGET AUDIENCE
PG and PhD level students (only 25 Students)
PREREQUISITES
Basic programming knowledge
FURTHER INFORMATION
- The laptop is required for the workshop. In case, you need a dedicated computer, kindly fill the requirements in the form attached. We will redefine the development environment together with you and the other participants.
- Interested students can fill the form attached
