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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

However, sometimes due to security and privacy regulations within or across organizations, the data is decentralized across multiple accounts or in different Regions and it can’t be centralized into one account or across Regions. Each account or Region has its own training instances.

Scripts 69
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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container. The SageMaker Processing job sets up your processing image using a Docker container entrypoint script.

Scripts 117
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Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning

Prerequisites To use Local Mode in SageMaker Studio applications, you must complete the following prerequisites: For pulling images from Amazon Elastic Container Registry (Amazon ECR), the account hosting the ECR image must provide access permission to the user’s Identity and Access Management (IAM) role.

Scripts 90
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Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

AWS Machine Learning

Before you get started, make sure you have the following prerequisites: An AWS account. Complete the following steps: Download the bootstrap script from s3://emr-data-access-control- /customer-bootstrap-actions/gcsc/replace-rpms.sh , replacing region with your region. Upload both files to an S3 bucket in your account and region.

Scripts 76
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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

AWS Machine Learning

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. In the Spark script, use the system executable command to run pip install , install this library in your local environment, and get the local path of the JAR file dependency.

APIs 71
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

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Contact Center Trends 2021: The CX Watershed

Fonolo

In 2017, more contact centers will recognize the impact of tracking analytics and use those benchmarks for future growth. More and more, customers simply want to solve inquires on their own – especially for simple questions like “what’s the balance on my account.” Call Center Trends 2012. Social Media ? a Not-So-Secret Weapon.