01Datascience
and AI

We aspire to become the Leaders in Machine Learning Solutions

Machine Learning (ML), an extended arm of Artificial Intelligence, is a perfect substitution for humans with machines. Simply put, Machine Learning uses computer system intelligence for building algorithms from learning the data generated. We have developed Machine Learning capabilities which allows computers to perform these tasks.

11Tensorflow
Development

The designs of various algorithms are first developed by machines and then they are fine-tuned and tested by USM. The perfection of these algorithms is maintained through continuous testing and evaluation. This ensures the accuracy of the algorithms developed using Machine Learning..

The primary use case is to automatically save checkpoints during and at the end of training. This way you can use a trained model without having to retrain it, or pick-up training where you left of—in case the training process was interrupted.


Technology Stack

  • Research and experimentation - Eager execution provides an imperative, define-by-run interface for advanced operations. Write custom layers, forward passes, and training loops with auto differentiation.
  • Experienced at ML at production Scale - Build a linear model with Estimators , Wide and deep learning , Boosted Trees, Text classifier with TF-Hub, Build an CNN Using Estimators
  • Experienced at Research and experimentation Eager execution provides an imperative, define-by-run interface for advanced operations. Write custom layers, forward passes, and training loops with auto differentiation.
  • Experienced in developing sequences - Text generation using a RNN with eager execution, Recurrent Neural Networks, Drawing classification, Simple Audio Recognition
  • eamlessly analyze in SQL, Python or R — all on the same dev environment With RedBean, all of your data and analyses are now in one place and current, ensuring a single source of truth within and across teams.