AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account.

Accountability 98

Accountability Government Engineering Scripts 98

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets. AWS Glue Job setup.

Scripts 71

Scripts Engineering APIs Big data 71

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. . resource("s3").Bucket Bucket (bucket).Object

Scripts 90

Scripts APIs Government Analytics 90

AWS Machine Learning

MARCH 7, 2023

When you open a notebook in Studio, you are prompted to set up your environment by choosing a SageMaker image, a kernel, an instance type, and, optionally, a lifecycle configuration script that runs on image startup. You can implement comprehensive tests, governance, security guardrails, and CI/CD automation to produce custom app images.

Management 72

Management Scripts Government Engineering 72

AWS Machine Learning

JANUARY 26, 2024

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies.

Best practices 116

Best practices Government Engineering Accountability 116

AWS Machine Learning

FEBRUARY 29, 2024

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. With Knowledge Bases for Amazon Bedrock, you can access detailed information through simple, natural queries.

APIs 106

APIs Healthcare Scripts Enterprise 106

AWS Machine Learning

AUGUST 22, 2023

The notebook instance client starts a SageMaker training job that runs a custom script to trigger the instantiation of the Flower client, which deserializes and reads the server configuration, triggers the training job, and sends the parameters response. script and a utils.py The client.py We use utility functions in the utils.py

Scripts 69

Scripts Accountability Transportation Benchmark 69