Our dedicated team offers you modern machine learning services, with predefined models and opportunity to create your personalised Ml models. Practised with big data our intelligent systems has better performance and increased accuracy compared to other large scale self learning systems. Our services are fast, scalable and easy to use. Available as a cloud service we bring you new opportunities and speed to your business applications.
With cloud based machine learning, you don’t have to invest upfront on hardware or software, and you pay as you go, so you can initiate small and scale as your application grows.
The four main vendors for cloud based Machine Learning are Amazon, Google, Microsoft and IBM. Each have their own strengths and weaknesses and can enhance the quality of your decision making.
Amazon Machine Learning platform offers ready-made and easily accessible prediction models for any developer, even if they do not have a data science background. Fueled by technology that powers its internal algorithms, these models can geneFeaturesrate millions of predictions either in batches or in real-time. In addition to this, in the 2016 re:Invent developer conference, it announced additional offerings in Image Recognition, Text-to-Speech Service and Speech Recognition, bringing its offerings at par with its competitors. A pay-as-you-go model, requiring little investment in hardware or software, has made Amazon one of the best ML platform providers a newbie can sign up for.
Google prides itself on being an AI-first company. Almost of all of Google’s marquee products use advanced machine learning models and AI capabilities, including speech recognition, image recognition and natural language processing. This makes Google Cloud Machine Learning platform a powerful tool for the beginner as well as the expert. It sports a mix of pre-trained models, besides allowing users to build their own models. It supports video analysis, image recognition, text analysis and translation services.
Named after the company’s founder, Thomas J Watson, the IBM Watson achieved fame and limelight with its 2011 Jeopardy win against two of its greatest champions. From there, the process had begun to turn it into the machine learning behemoth it is today. Watson allows a user to search for algorithms and queries, use a prediction tool to give predictions, and assemble tool to create workbooks. It enables powerful data visualizations and allows easy creation of models with its drag and drop interface.
IBM views AI and machine learning as ‘augmented intelligence’ to enhance quality decision-making. IBM’s APIs are being put to use in areas such as retail or finance, but their core area of focus is in medicine. While it has deep learning capabilities with data visualizations, it is primarily meant for large organizations.