Unite.AI

JUNE 24, 2024

MLOps , or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments.

Data Drift 124

Data Drift Machine Learning Data Scientist DevOps 124

AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. After a blueprint is configured, it can be used to create consistent environments across multiple AWS accounts and Regions using continuous deployment automation.

Auto-complete 116

Auto-complete Auto-classification Machine Learning ML 116

Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example.

Machine Learning 166

Machine Learning Auto-classification Python Algorithm 166

AWS Machine Learning Blog

APRIL 20, 2023

You need recommendations on finding the most cost-effective ML serving infrastructure and the right combination of software configuration to achieve the best price-performance to scale these applications. We train an XGBoost model for a classification task on a credit card fraud dataset. John Barboza is a Software Engineer at AWS.

ML 89

ML Auto-classification Python Auto-complete 89

AWS Machine Learning Blog

NOVEMBER 14, 2024

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.

ML 84

ML Auto-complete Machine Learning Auto-classification 84

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Metadata 134

Metadata Machine Learning Data Scientist Data Quality 134

The Stanford AI Lab Blog

MARCH 28, 2022

Sometimes manual grading can be feasible in small settings, or automated grading used in simple settings such as when assignments are multiple choice or adopt a fill-in-the-blink modular coding structure. Automated grading on the code text alone can be an incredibly hard challenge, even for introductory level computer science assignments.

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52