The volume of data, that companies are gathering, is increasing rapidly. Traditional data analytic tools hit their limits. They suffer in processing realtime data, and do not easily scale towards big datasets. Novel algorithms, tools and platforms, such as SPARK, HADOOP, KAFKA, HIVE… however open new opportunities.
At IDLab, we offer the full spectrum of machine learning and artificial intelligence expertise. This covers supervised learning (classification, regression, …), unsupervised learning (clustering, data pattern recognition, …) and reinforcement learning. Deep learning networks, probabilistic generative models, reservoir computing, Q-learning are only some of the techniques we are mastering.
Our experts tackle the most complex data challenges, and differentiate with automated machine learning solutions. These solutions apply machine learning techniques to optimize the hyperparameters and to select the best machine learning model.
Datasets are often not so well suited to apply machine learning straight away. At IDLab, we have built the expertise to facilitate dimensionality reduction, outlier detection, mitigation of missing data, denoising of data, feature extraction, model selection and hyper parameterization and sensitivity analysis.
The data scientists at IDLab are internationally recognized for their machine learning insights and capabilities.