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Clustering Metrics Better Than the Elbow Method

KDnuggets

We show what metric to use for visualizing and determining an optimal number of clusters much better than the usual practice — elbow method.

Metrics 88
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The problem with metrics is a big problem for AI

KDnuggets

The practice of optimizing metrics is not new nor unique to AI, yet AI can be particularly efficient (even too efficient!) at doing so.

Metrics 90
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SAP aims for more digital and resilient supply chains

CIO Business Intelligence

The number of complaints would also fall as a result, and the condition and maintenance of systems would be optimized, the provider said. Founded in 2019, the company seized its greenfield opportunity to rethink and redesign the press shop as part of a cloud-first development strategy.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. The query to generate this chart has similar performance metrics as the preceding chart.

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Create Modern SQL Dashboards With Professional Tools & Software

datapine

A SQL dashboard is a visual representation of data and metrics that are generated from a SQL relational database, and processed through a dashboard software in order to perform advanced analysis by creating own queries, or using a visual drag-and-drop interface. Comparing Different Time Periods. Comparing To Previous Periods.

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Introducing Terraform support for Amazon OpenSearch Ingestion

AWS Big Data

OpenSearch Ingestion is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and manage cloud resources efficiently. touch main.tf

Metrics 67
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.