Data Science is surely making its reach out to people, as it is now one of the most trending jobs on the planet earth. With Data Science there are many aspects that come to light – Machine Learning, Artificial Intelligence, Data Management, Data Handling – lots and lots of stuff. To add to those we have numerous tools that give us the privilege to implement this knowledge in practical experiences. Such is a case with Amazon Sagemaker. In this article today, we are going to discuss the workaround Amazon SageMaker. 1. What Does Amazon SageMaker Do? Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. 2. What is the need of having a platform to develop Machine Learning Solutions? The major pain points associated with a machine learning project dramatically change as the scale of the project increases. A typical workflow for a machine learning project is demonstrated below. Developing Machine Learning solutions can be categorized into 3 broad areas: Build: Here […]
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