Why Machine Learning trainings
For budding experts, we offer training packages that explain the different machine learning approaches and techniques. Whether supervised learning, unsupervised learning or reinforcement learning, we help you to better understand algorithms and methods and implement your knowledge with the common tools of data science and machine learning.
Self-training models that get better and better at making data-driven predictions over time help you optimise business processes and detect upcoming events as early as possible. For example, if necessary, customer churn or machine failure can be prevented. This saves money and increases process efficiency.
Senior Data Scientist
Steffen Bunzel has been with Alexander Thamm GmbH since 2017. His focus is on the development of scalable machine learning systems for customers in the telecommunications, automotive and retail sectors. Steffen Bunzel is a passionate Pythonista and a fan of Python's rich data science ecosystem. He loves experimenting with new algorithms, but places great importance on developing solutions that can be used productively in the long term. From his daily work, he knows how difficult the leap from prototype to production can be. Steffen has a background in statistics and operations research and studied industrial engineering in Berlin and London.
Frequently Asked Questions
Who are the training courses aimed at?
Is prior knowledge necessary?
Depending on the desired level, previous knowledge may be required. These will be agreed with you individually.
Where does the training take place?
In the case of online variants, the best tool for your IT infrastructure will be found with you.