We have spent our careers using leading techniques to design quantitative research studies on large, distributed datasets. This includes financial markets and time series of real-time prices, and unrelated work on both structured and unstructured data in other fields. We can help firms who are considering or using machine learning to:
- Evaluate the application of different supervised and unsupervised techniques to ensure you are approaching the problem in the most efficient way;
- Critique existing machine learning techniques to better understand their strengths and weaknesses, and whether they make sense in the context of the problem you're trying to solve;
- Design scientifically rigorous studies that leverage the appropriate quantitative techniques, whether they be traditional, machine learning or complex systems; and
- Help you ensure that your data is being stored and cleaned appropriately through our ValiData approach, so that any quantitative analysis will be successful.