Generative Data Intelligence

Tag: Feature Engineering

Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics | Amazon Web Services

If you are a business analyst, understanding customer behavior is probably one of the most important things you care about. Understanding the reasons and...

5 Essential Skills for AI Engineers in 2024 | BitPinas

Share some Bitpinas love:AI engineers design, test, develop, train, and implement AI models, as well as develop robust software solutions to support models that...

How Does Adaptive AI Matter to Your Business – PrimaFelicitas

Adaptive AI: What is it exactly?Adaptive AI (Autonomous Intelligence) is the advanced and responsive version of traditional autonomous intelligence with independent learning methods. Adaptive...

Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications | Amazon Web Services

Amazon SageMaker is an end-to-end machine learning (ML) platform with wide-ranging features to ingest, transform, and measure bias in data, and train, deploy, and...

Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake | Amazon Web Services

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to...

How Light & Wonder built a predictive maintenance solution for gaming machines on AWS | Amazon Web Services

This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is...

SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions | Amazon Web Services

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American...

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project | Amazon Web Services

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. Amazon SageMaker is a fully...

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs | Amazon Web Services

We are excited to announce the open-source release of GraphStorm 0.1, a low-code enterprise graph machine learning (ML) framework to build, train, and deploy...

Supervised Learning vs. Unsupervised Learning Algorithms

IntroductionMachine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 3: Processing and Data Wrangler jobs | Amazon Web Services

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio | Amazon Web Services

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of...

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