Data Science
Data science as a Innovative Clinical Research service allows companies to get business insights leveraging advanced analytics technologies, including deep learning, without investing in in-house data science competencies.
Innovative Clinical Research provides data science services to enable them to exploit growth and process improvement opportunities.
Machine learning (ML) consulting services may include advising on and implementing ML-based software as well as supporting the existing ML initiatives.
With experience in data science (AI, DL and ML Etc.,) Innovative Clinical Research renders a full range of machine learning services to help companies solve business problems with accurate forecasts and predictions, root-cause analysis, (big) data mining and more.
Business analysis
- Defining business needs a firm wants to address with machine learning.
- Analysing the existing machine learning environment (if any).
- Designing a machine learning strategy and roadmap.
- Selecting optimal machine learning technologies.
- Deciding on machine learning solution deliverables.
Data preparation
- Exploratory analysis of the existing data sources.
- Data collection, cleansing, and structuring.
- Defining the criteria for the machine learning model evaluation.
Development and implementation of machine learning models
- ML model exploration and refinement.
- ML model testing and evaluation.
- Fine-tuning the parameters of ML models until the generated results are acceptable.
- Deploying the ML models.