Bench Talk

Bench Talk for Design Engineers | The Official Blog of Mouser Electronics

On abril 25, 2025 in All, Computing, General, Open Source by Mouser Technical Content Staff

Unlock the potential of machine learning by transforming ideas into impactful solutions. This blog introduces the roadmap for moving from proof of concept to production, exploring essential steps like data quality, robust experimentation, and post-production monitoring for lasting success.

Tagged With: data quality, machine learning, ml, ml deployment, ml metrics, ml observability, open source ml, poc, post-production monitoring, proof of concept

A Robust Experimentation Environment for Success

On agosto 9, 2024 in All, Computing, General by Becks Simpson

Ensuring that an experimentation environment is structured to allow quick iteration on ML models and data is crucial for successful projects that produce robust and trustworthy results.

Tagged With: data for ml, data quality, experimentation environment, machine learning, machine learning model, poc, proof of concept

Data Criteria for ML POC Success

On julho 17, 2024 in All, Computing, General by Becks Simpson

Selecting data inputs and labels, evaluating data quality, and determining the needed quantity of data are critical steps for a successful machine learning project.

Tagged With: data for ml, data quality, deep learning, machine learning, proof of concept

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