AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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AWS AI AI ML 137

AWS Machine Learning Blog

MAY 13, 2024

Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. It’s serverless, so you don’t have to manage any infrastructure.

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AI AI AWS ML 124

AWS Machine Learning Blog

NOVEMBER 29, 2023

You can import data directly through over 50 data connectors such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Snowflake, and Salesforce. In this walkthrough, we will cover importing your data directly from Snowflake. You can download the dataset loans-part-1.csv Product Manager at AWS.

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Data Preparation ML ML Data Quality 120

Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles.

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AWS Data Preparation Azure Data Scientist 123

AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

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ML ML Database AWS 85

Mlearning.ai

JANUARY 26, 2023

In the most generic terms, every project starts with raw data, which comes from observations and measurements i.e. it is directly downloaded from instruments. It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaned data ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions.

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AWS Database Data Science Clean Data 98

AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. You need to clean the data, augmenting the labeling schema with style labels. Download the data locally First, download the women.tar zip file and the labels folder (with all of its subfolders) following the instructions provided in the Fashion200K dataset GitHub repository.

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Machine Learning Machine Learning AWS ML 87