AWS Machine Learning

DECEMBER 19, 2023

The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this. Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. AWS CDK provides the ability to manage changes for the complete solution.

Analytics 106

Analytics Engineering Government Best practices 106

AWS Machine Learning

FEBRUARY 13, 2023

According to Accenture , companies that manage to efficiently scale AI and ML can achieve nearly triple the return on their investments. With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises.

Scripts 73

Scripts Best practices Transportation Construction 73

AWS Machine Learning

NOVEMBER 1, 2022

A Studio domain managed policy attached to the AWS Identity and Access Management (IAM) execution role. He has over 8 years of industry experience from startups to large-scale enterprises, from IoT Research Engineer, Data Scientist, to Data & AI Architect. Prerequisites. His focus area is on data and analytics.

Engineering 91

Engineering APIs Accountability industry solution 91

AWS Machine Learning

APRIL 25, 2023

Amazon SageMaker Model Training helps data scientists run fully managed large-scale training jobs on AWS’s compute infrastructure. You have the flexibility to customize your runtime in the SageMaker managed infrastructure using the inferred configuration or override them at the SDK-level by passing them as arguments to the decorator.

Engineering 78

Engineering Metrics Construction Management 78

AWS Machine Learning

JUNE 14, 2023

Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. For more information, refer to MLOps foundation roadmap for enterprises with Amazon SageMaker.

Best practices 78

Best practices Scripts Engineering Education 78

SmartKarrot

JULY 7, 2020

Role: Customer Success Manager Location: Remote, US Organization: Upland Kapost Actively engage and partner with their Customers to maximize adoption of the deployed solution and achieve positive business impact results. Apply here: [link] Role: Customer Success Manager Location: Remote, US Organization: Testim.io

Upselling 10

Upselling Accountability industry solution Customer retention 10

AWS Machine Learning

NOVEMBER 11, 2022

Higher learning institutions have started to adopt it, because it helps them teach ML fundamentals beyond the notebook, like environment and resource management, which are critical areas for successful ML projects. Eda Johnson, Partner Industry Solutions Manager at Snowflake. Get started with SageMaker Studio Lab today!

Accountability 76

Accountability Engineering industry solution Enterprise 76