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Tag: AWS Machine Learning

Image augmentation pipeline for Amazon Lookout for Vision

Amazon Lookout for Vision provides a machine learning (ML)-based anomaly detection service to identify normal images (i.e., images of objects without defects) vs anomalous...

Processing data… in space: AWS powers Earth observation satellite payload

Amazon Web Services (AWS) claims to have delivered a first in operating a suite of machine learning software running on a satellite in orbit,...

Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use...

Train gigantic models with near-linear scaling using sharded data parallelism on Amazon SageMaker

In the pursuit of superior accuracy, deep learning models in areas such as natural language processing and computer vision have significantly grown in size...

Improve price performance of your model training using Amazon SageMaker heterogeneous clusters

This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training...

Reduce food waste to improve sustainability and financial results in retail with Amazon Forecast

With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has...

Create synthetic data for computer vision pipelines on AWS

Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time...

Detect fraudulent transactions using machine learning with Amazon SageMaker

Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud...

Implement RStudio on your AWS environment and access your data lake using AWS Lake Formation permissions

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and...

Train a time series forecasting model faster with Amazon SageMaker Canvas Quick build

Today, Amazon SageMaker Canvas introduces the ability to use the Quick build feature with time series forecasting use cases. This allows you to train...

Use Amazon SageMaker Canvas for exploratory data analysis

Exploratory data analysis (EDA) is a common task performed by business analysts to discover patterns, understand relationships, validate assumptions, and identify anomalies in their...

Host code-server on Amazon SageMaker

Machine learning (ML) teams need the flexibility to choose their integrated development environment (IDE) when working on a project. It allows you to have...

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