AWS Machine Learning

DICOM (Digital Imaging and Communications in Medicine) is an image format that contains visualizations of X-Rays and MRIs as well as any associated metadata. DICOM is the standard for medical professionals and […]

This post is co-written by Nikunj Agarwal, lead data scientist at Edelweiss Tokio Life Insurance. Edelweiss Tokio Life Insurance Company Ltd is a leading life insurance company in India. Its broad spectrum of […]

Amazon Web Services (AWS), Coursera, and DeepLearning.AI are excited to announce Practical Data Science, a three-course, 10-week, hands-on specialization designed for data professionals to quickly learn the […]

Amazon Lex is a service for building conversational interfaces into any application. The new Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots. The Amazon Lex V2 console and APIs […]

In AWS, you can host a trained model multiple ways, such as via Amazon SageMaker deployment, deploying to an Amazon Elastic Compute Cloud (Amazon EC2) instance (running a Flask + NGINX, for example), AWS Fargate, […]

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation in 71 languages and 4,970 language pairs. Amazon Translate is great for performing […]

Amazon Rekognition Custom Labels makes automated weed detection in crops easier. Instead of manually locating weeds, you can automate the process with Amazon Rekognition Custom Labels, which allows you to build […]

Proteins, the key fundamental macromolecules governing in biological bodies, are composed of amino acids. These 20 essential amino acids, each represented by a capital letter, combine to form a protein sequence, […]

Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. […]

In this post, we present the results of a model serving experiment made by Contentsquare scientists with an innovative DL model trained to analyze HTML documents. We show how the Amazon SageMaker TensorFlow […]

Amazon Web Services is partnering with Udacity to help educate developers of all skill levels on machine learning (ML) concepts with the AWS Machine Learning Scholarship Program by Udacity by offering 425 […]

This blog post was co-authored by Arbi Tamrazian, Director of Data Science and Machine Learning at Fox Sports.
FOX Sports is the sports television arm of FOX Network. The company used machine learning (ML) and […]

Did you miss SageMaker Month? Don’t look any further than this round-up post to get caught up. In this post, we share key highlights and learning materials to accelerate your machine learning (ML) innovation. […]

We’re about a week away from the AWS Machine Learning Summit and if you haven’t registered yet, you better get on it! On June 2, 2021 (Americas) and June 3, 2021 (Asia-Pacific, Japan, Europe, Middle East, and […]

With over 400,000 customers, lekker Energie GmbH is a leading supraregional provider of electricity and gas on the German energy market. lekker is customer and service oriented and regularly scores top marks in […]

Chatbots, virtual assistants, and Interactive Voice Response (IVR) systems are key components of successful customer service strategies.
We had the pleasure of hearing from three AWS Contact Center Intelligence […]

AWS is excited to announce the winner of the AWS DeepComposer Chartbusters Keep Calm and Model On challenge, Nari Koizumi. AWS DeepComposer gives developers a creative way to get started with machine learning (ML) […]

The process of extracting, cleaning, manipulating, and encoding data from raw sources and preparing it to be consumed by machine learning (ML) algorithms is an important, expensive, and time-consuming part of data […]

Amazon SageMaker is a fully-managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at 50% lower TCO than self-managed deployments on Elastic Compute […]

Many businesses support customers across multiple countries and ethnic communities, and therefore need to provide customer service in a wide variety of local languages. It’s hard to consistently staff contact c […]