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AWS machine learning News
July 19, 2018
AWS' AI tools have gained traction with users but also criticism from civil rights advocates. Matt Wood, an AWS deep learning and AI exec, discusses AWS' evolving portfolio.
December 22, 2017
The list of AWS features continued to grow in 2017, with upgrades that grab IT shops' attention: containers, databases, security, serverless and machine learning.
December 08, 2017
AWS re:Invent featured updates to database and internet of things technologies, but new cloud AI services such as SageMaker broaden the appeal of the cloud provider's AI tool set.
December 04, 2017
Amazon Web Services has empowered developers with SageMaker, a tool that lets them incorporate machine learning into the apps they're building.
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Amazon Transcribe is a speech recognition service that transcribes audio files into text. Continue Reading
Amazon SageMaker is a service that enables a developer to build and train machine learning models for predictive or analytical applications in the Amazon Web Services (AWS) public cloud. Continue Reading
Gluon is an open source deep learning library jointly created by AWS and Microsoft that helps developers build, train and deploy machine learning models in the cloud. Continue Reading
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SageMaker shouldn't be viewed as the AWS machine learning cure-all but, instead, as a potential option for developers with some AI and data analysis background. Continue Reading
While AWS remains the clear leader in the public IaaS market, the vendor's future success depends on how it addresses the more foundational needs of its enterprise customers. Continue Reading
SageMaker from AWS gives software developers a way to tackle AI and machine learning. But expert Torsten Volk said it will also require lots of experimenting. Continue Reading
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Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading