Machine Learning Training Camp (ML)
Our ML training camp provides participants the mathematical foundation and basic technologies of machine learning, beginning with common tools for dimensionality reduction, to current deep learning approaches and reinforcement learning.
- Apart from basic concepts and current theoretical research findings, the training camp focuses on the wide range of potential applications for machine learning.
- Practical examples and programmer tutorials help participants develop a solid understanding of the tools and how they are used in real applications.
- The training camp is designed for those who have always had a desire to grasp machine learning concepts, methods and algorithms.
- Participants receive a certificate issued by fortiss upon successful completion of the course.
- With this compact format that combines state-of-the-art research and practical industry experience, you will enjoy an exclusive, manufacturer-independent insight into the world of machine learning.
Date
Due to the current situation regarding the coronavirus, the event will be postponed to another date. The exact dates will be announced later.
Location
fortiss Highlight-Towers
Mies-van-der-Rohe-Str. 6
80807 München
Language
German (presentation slides in English)
Maximum number of participants
20
Cost
3.500,- EUR for both modules
Course options
Module 1 only: 1.800,- EUR
Target group
Developers
Background qualifications
Training and education background in one of the MINT disciplines, particularly a basic understanding of mathematical analyses, linear algebra and probability theory
Agenda
Module 1
learning objectives Overview of ML concepts and methods. Participants will be able to answer the question, “What do models and algorithms mean, especially in the context of machine learning?” Participants will also be able to develop and apply simple models.
Module 2
learning objectives Participants become familiar with more complex ML applications, such as through deep learning models in industrial environments. Upon completion of Module 2, participants will be able to comprehend advanced ML concepts.
