Industrial machine learning: mathematical foundations and practice
Machine learning (ML) is no longer a theoretical niche topic, but rather the operating system of modern industry. However, the path from the initial idea to a productive application is challenging: it requires a deep understanding of the mathematical foundations as well as the ability to apply complex algorithms to real-world datasets. Those who merely scratch the surface often fail due to issues with the scalability or accuracy of their models. To unlock the full potential of ML, theoretical concepts must be translated into practical programming skills.
This training camp bridges the gap between academic theory and industrial practice. We’ll deepen your existing STEM knowledge and systematically guide you through the mathematical fundamentals and the latest research findings. Through interactive examples and intensive programming tutorials, you’ll learn not only to understand ML algorithms but also to implement them independently and optimize them for your specific challenges.
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- Mathematical foundation: you will deepen your understanding of the underlying mechanisms and algorithms of machine learning, thereby establishing a solid foundation for complex engineering tasks.
- Hands-on programming: through intensive tutorials, you will learn how to implement ML models in practice and translate theoretical concepts directly into executable code.
- Interactive knowledge transfer: you’ll benefit from the latest research findings and illustrative real-world examples that show you how ML solutions are successfully deployed across various industries.
- Comprehensive methodological expertise: you’ll gain a complete overview of the prerequisites and application possibilities of ML, enabling you to confidently manage projects in your company from data collection through to validation.
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The event is aimed at technically oriented professionals from industry and business with expertise in data, AI, and engineering.
- Data scientists and machine learning engineers
- AI engineers and software developers working in the AI field
- Engineers from the industrial, energy, automotive, and manufacturing sectors
- Researchers and technical professionals with a STEM background
- IT and AI managers in companies
- Professionals from the defense, medical, aerospace, and construction sectors
- Technically oriented project and development managers
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- Format: webinar / training
- Duration: flexible
- Delivery: online or in-person
- Practical component: high, with examples and specific application scenarios
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The format can be customized to suit your organization’s specific needs—for example, by:
- Incorporating your specific use cases
- Adapting to your industry or project type
- Delving deeper into specific methods or tools
