Remove 2012 Remove Big data Remove Metrics
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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Policy 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

Scripts 121
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Buddying Up – Putting Virtual Employee Assistants at the Heart of Agent Development

TechSee

When gamification is introduced into a contact center environment, agents compete to complete objectives and outpace colleagues in specific metrics such as hours worked and average speed to answer. This combination is used in Vodafone’s Welcome Team approach, which uses Big Data analysis to predict almost all potential onboarding issues.

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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/. He regularly speaks at AI and machine learning conferences across the world including O’Reilly AI, Open Data Science Conference, and Big Data Spain.

APIs 93
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Achieve enterprise-grade monitoring for your Amazon SageMaker models using Fiddler

AWS Machine Learning

The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics. He founded his own big data analytics consulting company, Branchbird, in 2012. Now upload your training dataset. The dataset is also used to generate the schema for this model in Fiddler.

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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

The evaluation takes place on a testing dataset existing only on the server, and the new improved accuracy metrics are produced. He works with government, non-profit, and education customers on big data, analytical, and AI/ML projects, helping them build solutions using AWS.

Scripts 94
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Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas

AWS Machine Learning

Exploring, analyzing, interpreting, and finding trends in data is essential for businesses to achieve successful outcomes. Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” The union of advances in hardware and ML has led us to the current day. Work by Hinton et al.

Benchmark 105