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Favorite The growth of artificial intelligence could create 58 million net new jobs in the next few years, states the World Economic Forum [1]. Yet, according to the Tencent Research Institute, it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed [2]. As you can tell,
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Shared by AWS Machine Learning July 18, 2019
Favorite The housing market is complex. There is a continuously changing supply of student housing units around any given education campus. Moreover, the accepted value of a unit continuously changes based on physical and social variables. These variables could include proximity to campus with regard to other available options, friend
Read More Shared by AWS Machine Learning July 16, 2019
Favorite Voice-powered experiences are gaining traction and customer love. Volley is at the cutting edge of voice-controlled entertainment with its series of popular smart-speaker games, and many aspects of Volley rely on Amazon Polly. Every day, more and more people switch on lights, check the weather, and play music not
Read More Shared by AWS Machine Learning July 12, 2019
Favorite Course Hero is an online learning platform that provides students access to over 25 million course-specific study materials, including study guides, class notes, and practice problems for numerous subjects. The platform, which runs on AWS, is designed to enable every student to take on their courses feeling confident and
Read More Shared by AWS Machine Learning July 12, 2019
Favorite Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances, and reduce the cost of running deep learning inference by up to 75 percent. The EIPredictorAPI makes it easy to use Elastic Inference. In this post, we use the EIPredictor and describe a step-by-step example for using
Read More Shared by AWS Machine Learning July 11, 2019
Favorite Deep learning (DL) frameworks enable machine learning (ML) practitioners to build and train ML models. However, the process of deploying ML models in production to serve predictions (also known as inferences) in real time is more complex. It requires that ML practitioners build a scalable and performant model server,
Read More Shared by AWS Machine Learning July 10, 2019
Favorite Remember the screech of the dial-up and plain-text websites? It was in that era that the Amazon.com website launched in the summer of 1995. Like the rest of the web, Amazon.com has gone through a digital experience makeover that includes slick web controls, rich media, multi-channel support, and intelligent
Read More Shared by AWS Machine Learning July 3, 2019
Favorite Amazon Transcribe is a fully-managed automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capabilities to applications. Depending on your use case, you may have domain-specific terminology that doesn’t transcribe properly (e.g. “EBITDA” or “myocardial infarction”). In this post, we will show you how
Read More Shared by AWS Machine Learning July 3, 2019
Favorite Listening to your Microsoft Word documents as audio is a great way to save time or to be productive on a long commute. You can easily convert an entire block of text into MP3 format with Amazon Polly. But you can vastly improve your listening experience with just a
Read More Shared by AWS Machine Learning July 3, 2019
Favorite Training and inference are crucial components of a machine learning (ML) development cycle. During the training phase, you teach a model to address a specific problem. Through this process, you obtain binary model files ready for use in production. For inference, you can choose among several framework-specific solutions for
Read More Shared by AWS Machine Learning July 2, 2019