AWS Machine Learning
AUGUST 21, 2024
We also explore best practices for optimizing your batch inference workflows on Amazon Bedrock, helping you maximize the value of your data across different use cases and industries. Solution overview The batch inference feature in Amazon Bedrock provides a scalable solution for processing large volumes of data across various domains.
AWS Machine Learning
SEPTEMBER 6, 2023
Dataset overview The dataset used for this solution is pile-of-law within the Hugging Face repository. For this example, we use train.cc_casebooks.jsonl.xz For more information, refer to Amazon SageMaker Identity-Based Policy Examples. This dataset is a large corpus of legal and administrative data. within this repository.
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AWS Machine Learning
DECEMBER 19, 2023
Now that you’ve gone through the creation and initial deployment, the MLOps engineer can configure failure alerts to be alerted for issues, for example, when a pipeline fails to do its intended job. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).
AWS Machine Learning
APRIL 25, 2023
We include an example of how to use the decorator function and the associated settings later in this post. In the following example code, we run a simple divide function as a SageMaker Training job: import boto3 import sagemaker from sagemaker.remote_function import remote sm_session = sagemaker.Session(boto_session=boto3.session.Session(region_name="us-west-2"))
AWS Machine Learning
DECEMBER 1, 2022
This post also provides an example end-to-end notebook and GitHub repository that demonstrates SageMaker geospatial capabilities, including ML-based farm field segmentation and pre-trained geospatial models for agriculture. Agronomic data platforms provide several layers of data and insights at scale.
AWS Machine Learning
NOVEMBER 1, 2022
To demonstrate the orchestrated workflow, we use an example dataset regarding diabetic patient readmission. You can try out the approach with this example and experiment with additional data transformations following similar steps with your own datasets. For more information, refer to Amazon SageMaker Identity-Based Policy Examples.
Outsource Consultants
APRIL 1, 2025
This growth extends beyond traditional voice services to include complex back-office processes, digital services, and specialized industry solutions. Government Backing Fuels Growth The South African government recognizes the BPO industry’s potential as a key driver of economic growth and job creation.
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