Hosting Higher Education Institution: |
European Institute for Academic and Professional Development |
Institution website: |
https://www.eiapd.eu/courses/emerging-fields/ |
Country: |
Germany |
Language: |
English |
Dates: |
Monday, 15 April, 2024 to Friday, 19 April, 2024 |
Registration fee: |
695 |
Maximum number of participants: |
14 |
Deadline for applying: |
Wednesday, 13 March, 2024 |
Accommodation: |
Accommodation not provided |
Contact person details: |
Dr. Jan Schmidt jan.schmidt@eiapd.eu +49 173 665 94 26 |
Machine Learning with Python
Discover the future of technology. Master the fundamentals of Machine Learning with Python, all set within the culturally rich environment of Berlin. Over the span of this course you will familiarize yourself with the core Python libraries for machine learning, including Scikit-Learn and PyTorch. Next to these, you will learn good coding practice, e.g. using version control with Git & Github and working in virtual environments. The course is highly interactive and features a balanced mix of input lectures and hand-on exercises. You will further learn how to exploit AI-based tools to autonomously troubleshoot and advance your coding skills. The course culminates in starting your own machine learning project, either with your personal data or using a free and online available data set. Besides learning the technical skills, you will network with Python and Machine Learning enthusiasts from all over Europe and immerse yourself in Berlin's transformative history and creative present.
Whom does it adress?
Course Content
We will explore relevant topics like:
- Introduction to machine learning with Python
- Virtual Environments
- Supervised Learning with Scikit-Learn: Classification (lecture & exercise)
- Introduction to Artificial Neural Networks
- Building a neural network step-by-step (lecture & exercise)
- Using neural networks and PyTorch for classification (lecture & exercise)
- Praxis lab
Destination: Berlin
The course will be delivered in Berlin! - No further explanation needed ... or?