Quality assurance of AI-based algorithms in medical sector
·102 words·1 min
Azure Cloud
Tensorflow
Scikit Learn
Deep Learning
Neural Network
Machine Learning
Hyperparameter Optimisation
Data Visualisation
Classification
Docker
Python
Data Scientist
Git
Confluence
Jira
Quality assurance plays a central role in the development and implementation of AI-based algorithms in medical technology. In this project, it is ensured that a developed algorithm works as expected, that no unwanted errors occur and that the results are of the appropriate quality. In addition, it is checked that no sensitive data is leaked and that no conclusions can be drawn about the used training data.
Make an appointment now!Activities #
- Quality assurance of complex Python ML algorithms
- Testing of Tensorflow based model architectures
- Evaluation of Scikit-Learn models
- Data visualisation of model quality
- Execution of hyperparameter optimization
- Prevention of overfitting