Self taught algorithms can solve many problems accross different business domains. We have the knowledge and skills to build these algorithms tailor-made for your needs
Deep learning models teach a computer to identify a person in the photo, street directions in spoken words, and similarities between audio samples. We use deep learning for building image recognition software, image search, object detection, fraud prediction, text and voice recognition, and other applications.
This technique uses historical data to identify risks and opportunities for the future. To build predictive analytics models we use both structured (displayed in titled columns and rows) and unstructured data (emails, audio, social media content). Risk management, cross-sell, direct marketing are some use cases for predictive analytics.
This technique uses historical data to identify risks and opportunities for the future. To build predictive analytics models we use both structured (displayed in titled columns and rows) and unstructured data (emails, audio, social media content). Risk management, cross-sell, direct marketing are some use cases for predictive analytics.
