AWS Sagemaker 2018- Fully Managed Machine Learning Service

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Price: 24.99$

Amazon Sage Maker is a fully managed machine learning service. With Amazon Sage Maker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, Amazon Sage Maker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a single click from the Amazon Sage Maker console. Training and hosting are billed by minutes of usage, with no minimum fees and no upfront commitments. If you want to learnabout Amazon Sage Maker, Irecommend you to go through this course which will cover in detail-How it works?This courseprovides an overview of Amazon Sage Maker, explains key concepts, and describes the core components involved in building AI solutions with Amazon Sage Maker. We recommend that you read this topic in the order presented. This courseexplains how to set up your account and create your first Amazon Sage Maker notebook instance. Try a model training exercise This coursewalks you through training your first model. You use training algorithms provided by Amazon Sage Maker. Explore other topicshere Depending on your needs, the following: Submit Python code to train with deep learning frameworks In Amazon Sage Maker, you can use your own Tensor Flow or Apache MXNet scripts to train models. Use Amazon Sage Maker directly from Apache Spark Use Amazon AI to train and/or deploy your own custom algorithms Package your custom algorithms with Docker so you can train and/or deploy them in Amazon Sage Maker. And a ton, more…. is included in this course….