The Centre for Applied Data Science (CADS) has an extensive experience in the field of data sciences, including:
- Statistical analysis process and R&D data
– Regression analysis and statistical modeling
– Predictive modeling: Machine Learning (neural/boosted tree/boat step forest)
– Multivariate analysis: PCA/Factor Analysis/Clustering
– Time-series analysis
- Experimental planning using (AI based) Optimal Design of Experiments (DOE)
- Quality & Process control
Above statistical methods are applied to:
– Monitoring, assessing stability and performance of production processes
– Optimization and validation of measurement systems
– Modeling of industrial processes, determining “Design Space” & optimal process parameter control ranges