AMAZON ML platform services in Artificial Intelligence Platform

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Data scientists and developers may use AWS Managed ML Platforms to generate models without having to worry about infrastructure administration. Amazon ML eliminates the need to master difficult technologies and machine learning methods, as well as provide visualization tools and wizards to assist in the creation of machine learning models. Apache Spark on Amazon EMR is a distributed processing solution that focuses on large data workloads and is a free source. It has a number of features, including performance enhancements and the ability to quickly construct applications, such as libraries, to aid in the development of apps for diverse use cases.

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Summary

SageMaker is available through Amazon's ML services platform. It allows developers and data scientists to swiftly create, train, and deploy machine learning models. Amazon SageMaker is a fully managed service that handles the complete machine learning workflow, including data labeling and preparation, algorithm selection, model training, tuning, and optimization for deployment, prediction, and action. The models are ready for manufacturing in a fraction of the time and at a fraction of the cost.

Demo

Amazon SageMaker demo can be requested by connecting with support.

Pricing

  • Amazon SageMaker - Amazon SageMaker is free to try
  • Amazon SageMaker Studio Notebooks ml.m5d.24xlarge with 96 vCPU and 192 GiB Memory is priced at $4.896 per Hour
  • RStudio on SageMaker ml.m5d.24xlarge with 96 vCPU and 384 GiB Memory is priced at $6.509 per Hour
  • Amazon SageMaker Hosting: Real-Time Inference ml.m4.16xlarge with 64 vCPU and 256 GiB Memory is priced at $3.84 per Hour
  • Amazon SageMaker Data Wrangler ml.m5.4xlarge with 16 vCPU and 64 GiB Memory is priced at $0.922 per Hour
  • Amazon SageMaker Processing ml.m4.16xlarge with 64 vCPU and 256 GiB Memory is priced at $3.84 per Hour
  • Amazon SageMaker Training ml.m4.16xlarge with 64 vCPU and 256 GiB Memory is priced at $3.84 per Hour
  • Amazon SageMaker Asynchronous Inference ml.m4.16xlarge with 64 vCPU and 256 GiB is priced at $3.84 per Hour


Features

Amazon SageMaker Ground Truth builds highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data labeled by humans so that the service learns to label data independently.

SageMaker Ground Truth uses a machine learning model to automatically label raw data to produce high-quality training datasets quickly at a fraction of the cost of manual labeling. Data is only routed to humans if the active learning model cannot confidently label it. The human-labeled data is then used to train the model to improve its capabilities. Less data is then sent to humans in the next round of labeling, lowering your costs.

Amazon SageMaker Ground Truth helps build high-quality and accurate training datasets quickly. Machine-generated labels provide consistent results with a confidence score for each label so that it can easily understand how certain the service is that the label is correct. Human-labeled results are automatically scored against criteria it provides to help ensure that more data is sent to high-quality labelers and low-quality labelers are deemphasized.

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Amazon Presence in Artificial Intelligence Platform
Amazon is focused on enhancing the organizational capabilities of AI using strategies, such as product launches, partnerships, R&D, and innovation. For instance, it is a member of the ‘Partnership on AI’ association, which aims at taking help from technology giants to introduce AI technological capabilities for the benefit of people and business. Moreover, the company launched 3 services: Amazon Lex, Amazon Polly, and Amazon Rekognition, to help developers build applications with AI technology incorporated into it. Moreover, the company is focused on developing virtual assistance, NLP, and voice technology. Additionally, it has partnered with NVIDIA Corporation to enhance the deep learning capabilities. This partnership also aims at training developers for using the Amazon Web Services platform by providing them with tools for deep learning and joint development.
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