Our data engineers spend large amounts of time and effort understanding customer data and the business logic.
Customer data is cleaned, sorted and improved in quality. This will probably be the longest stage of the whole process.
A mathematical model is developed (trained) from the client's data. It is re-trained and re-evaluated as many times as necessary, until an optimal model is achieved.
The quality and suitability of the model is evaluated with new customer data. Return to the previous step until complete satisfaction.
Machine learning library which helps to develop advanced ML models. The Google team developed it.
Is a cloud-based and robust machine learning managed service widely used for creating models and generating predictions
It is a hosted platform where data scientists create and run complex machine learning models.