Machine Learning

We support our customers to achieve business driven success and achieve their goals using Machine learning tools and models.

Our Approach

  • User Requirements - Understanding requirements and making a problem statement for developing a solution that will be useful and productive for business.
  • Data Acquisition - Data can come from all heterogeneous sources, it can be CSV’s to audio clips, it can be any source that can have the valuable information.
  • Data Enrichment - Data enrichment is done for better insights that can be used draw and create data pipelines that are compatible with machine learning algorithms.
  • Creating Model - Identify appropriate technologies, model and architecture for the problem. Creating baseline/reusable models that help to improvise the performance and reduce turn around time.
  • Evaluation and Deployment - Launch and iterate while adding new features to the pipeline.