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Python based Machine Learning with Automotive Applications

30 Nov - 01 Dec 2021Add To Calendar
carhs gmbh, Alzenau, Germany
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The topic of Artificial Intelligence (AI) is currently becoming more and more important, in particular in areas where processes are automated and many data are processed. Especially in automotive area as well in the virtual development process as in the field of testing, numerous applications are conceivable in this context. A part of artificial intelligence is machine learning, which is becoming increasingly important in addition to classical rule-based expert systems. This current development .. continue reading is due to the generation of ever-larger datasets (big data) as well as more powerful computers for their processing. Especially in the automotive environment, extensive data are generated in the context of simulation or testing, for which an automated analysis is often sought. In addition to the classical interpretation of individual simulation or testing results, the methods of machine learning allow a new view at models and results. Based on the analysis of numerous results (big data), e.g. from parameter studies, it is possible to derive Artificial Intelligence using methods of machine learning, which is then used to evaluate further simulations or tests. Python is currently the most popular programming language for data analysis and machine learning. The freely available Python library Scikit-Learn provides a user-friendly entry to the relevant procedures. Especially the application of artificial neural networks (Deep Learning) has become very popular lately. The software TensorFlow developed by Google and the Python library Keras based on it provide a beginner-friendly access.


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Nov 2021 Interested

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