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Why a secure software development life cycle is critical for manufacturers BleepingComputerSponsored by Acronis

Recent supply-chain breaches show how attackers exploit development tools, compromised credentials, and malicious NPM packages to infiltrate manufacturing and production environments. Acronis explains why secure software development life cycle (SSDLC) practices are now critical for evaluating partners and protecting systems. […] Read More 

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Implement automated smoke testing using Amazon Nova Act headless mode Artificial Intelligence

Implement automated smoke testing using Amazon Nova Act headless mode Artificial Intelligence

Implement automated smoke testing using Amazon Nova Act headless modeArtificial Intelligence This post shows how to implement automated smoke testing using Amazon Nova Act headless mode in CI/CD pipelines. We use SauceDemo, a sample ecommerce application, as our target for demonstration. We demonstrate setting up Amazon Nova Act for headless browser automation in CI/CD environments and creating smoke tests that validate key user workflows. We then show how to implement parallel execution to maximize testing efficiency, configure GitLab CI/CD for automatic test execution on every deployment, and apply best practices for maintainable and scalable test automation.

 This post shows how to implement automated smoke testing using Amazon Nova Act headless mode in CI/CD pipelines. We use SauceDemo, a sample ecommerce application, as our target for demonstration. We demonstrate setting up Amazon Nova Act for headless browser automation in CI/CD environments and creating smoke tests that validate key user workflows. We then show how to implement parallel execution to maximize testing efficiency, configure GitLab CI/CD for automatic test execution on every deployment, and apply best practices for maintainable and scalable test automation. Read More  

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The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel Towards Data Science

The Machine Learning “Advent Calendar” Day 10: DBSCAN in ExcelTowards Data Science DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point.
It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel.
But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data.
The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.

 DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point.
It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel.
But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data.
The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science. Read More  

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How to Maximize Agentic Memory for Continual Learning Towards Data Science

How to Maximize Agentic Memory for Continual LearningTowards Data Science Learn how to become an effective engineer with continual learning LLMs
The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.

 Learn how to become an effective engineer with continual learning LLMs
The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science. Read More  

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Don’t Build an ML Portfolio Without These Projects Towards Data Science

Don’t Build an ML Portfolio Without These ProjectsTowards Data Science What recruiters are looking for in machine learning portfolios
The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science.

 What recruiters are looking for in machine learning portfolios
The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science. Read More