Why is scalability important for machine learning?
- Complexity and runtime analysis of learning algorithms
- Implementation on GPUs, multi-core and distributed systems
- Hardware architecture for ML systems
- Machine learning for big data applications
- High performance computing for machine learning
- Distributed parallelization with the Message Passing Interface (MPI) and the Global Address Space Programming Interface (GPI)
- Implementation of ML systems in the cloud
- Exercises in the virtual learning laboratory totaling 2 working days over a period of 2 months
- Solution / submission of a given task to demonstrate the practical application of what has been learned
Information about the training lecturers you'll find here.
Please fill out the registration form below. The maximum number of participants is 15. Registrations will be considered in the order in which they arrive.
If the training course is already fully booked for your preferred date, you have the option of putting yourself on the waiting list. The waiting list is non-binding and free of charge for you. As soon as a place becomes available, we will find a replacement as soon as possible and will then get in touch with you.
The offer for a total price of 5,300 euros includes
- the three-day basic course »Applied Deep Learning«,
- this two-day advanced course with subsequent practical phase (approx. 2 working days within a period of 2 months),
- a half-day exam.
It is possible to book the specializations individually. When booking the specialization individually, the content of the basic course is required. The unit price is 1,900 euros.
The participation fee is tax-free according to § 4 No. 22a UStG. It includes accompanying documents (mainly in English), examination fee and meals (for face-to-face events).
June 08, 2021, November 30, 2021 / Duration: 2 days
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
German (documents in English)
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