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Tag: AWS Machine Learning

Indonesian calls, messages at G7 Summit

JAKARTA, June 30, 2022 - (ACN Newswire) - Indonesian President Joko Widodo (Jokowi) has arrived at the venue of the 48th G7 Summit in Schloss Elmau, Germany on...

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Deep demand forecasting with Amazon SageMaker

Every business needs the ability to predict the future accurately in order to make better decisions and give the company a competitive advantage. With...

Deep demand forecasting with Amazon SageMaker

Every business needs the ability to predict the future accurately in order to make better decisions and give the company a competitive advantage. With...

Choose specific timeseries to forecast with Amazon Forecast

Today, we’re excited to announce that Amazon Forecast offers the ability to generate forecasts on a selected subset of items. This helps you to leverage the...

How Cepsa used Amazon SageMaker and AWS Step Functions to industrialize their ML projects and operate their models at scale

This blog post is co-authored by Guillermo Ribeiro, Sr. Data Scientist at Cepsa. Machine learning (ML) has...

Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

In a previous post, we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault...

MLOps foundation roadmap for enterprises with Amazon SageMaker

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to...
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Introducing Amazon CodeWhisperer, the ML-powered coding companion

We are excited to announce Amazon CodeWhisperer, a machine learning (ML)-powered service that helps improve developer productivity by providing code recommendations based on developers’...

Manage AutoML workflows with AWS Step Functions and AutoGluon on Amazon SageMaker

Running machine learning (ML) experiments in the cloud can span across many services and components. The ability to structure, automate, and track ML experiments...

Import data from cross-account Amazon Redshift in Amazon SageMaker Data Wrangler for exploratory data analysis and data preparation

Organizations moving towards a data-driven culture embrace the use of data and machine learning (ML) in decision-making. To make ML-based decisions from data, you...

Predict types of machine failures with no-code machine learning using Amazon SageMaker Canvas

Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given...

Visual inspection automation using Amazon SageMaker JumpStart

According to Gartner, hyperautomation is the number one trend in 2022 and will continue advancing in future. One of the main barriers to hyperautomation...

Accelerate your career with ML skills through the AWS Machine Learning Engineer Scholarship

Amazon Web Services and Udacity are partnering to offer free services to educate developers of all skill levels on machine learning (ML) concepts with...
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