Machine Learning

Machine learning is already here and has been applied by businesses already. Massive computing power has become inexpensive and is being used by machine learning to run predictive models which fetch details from existing data in order to detect fraud, demand forecasting or ad targeting. These kinds of forecasting turn apps and devices smarter.

Machine learning offers lots of benefits to business which includes rapid processing, analysis, predictions, etc. It provides with the capability to deliver new products and services by lowering the cost of existing products.

Services offered by us with respect to Machine Learning are:

  • Algorithm Design

Our expert engineers having an analytical and methodological approach to solve problems which are relative while designing or writing effective algorithms. We have an appropriate set of technologies to optimize existing algorithms for any given situation.

  • Data Modelling

We offer your business a complete data modeling solution right from hypothesizing to the physical implementation of the data model. Our tools are able to extract thorough requirements related to your business by providing you with a complete solution.

The following services are integrated with mentioned below

  • Amazon Machine Learning

At AFSA, we make use of Amazon Machine Learning to provide visualization tools and wizards which can assist you in creating machine learning models without learning complex ML algorithms. It is an easy process to generate the forecasts of your applications by using Amazon ML APIs, without implementing custom prediction generation code or managing any infrastructure.

  • Microsoft Azure Machine Learning

Azure Machine Learning is a cloud-based predictive analysis service utilized by AFSA for creating and deploying predictive models as analytics solutions. Microsoft Azure ML has an inbuilt graphical drag and drop interface for connecting preprogrammed components of data science corroborated together. If you have an existing Microsoft Azure compute cloud then the integration with the data stored will be simpler and seamless.

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