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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Consider This Defense Science Board Warning In Light of The OPM Hack

CTOvision

The Defense Science Board Report of January 2013 on the resilience of DoD systems to cyber attack. Read on for more about what the DSB reported as the threat to military systems. It is also available at: Resilient Military Systems and the Advanced Cyber Threat. Here are more details: .

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5 Types of Infrastructure Engineers Your Business May Need

Mobilunity

Infrastructure engineering is a branch of engineering as it uses the principles of science and mathematics to design and develop the structures required to perform certain processes. Infrastructure engineers work to ensure all systems within a business function optimally and seamlessly. Logs and Metrics. Other Internal Tools.

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The Cloud Cost-Conscious Conundrum

taos

Data storage, logic hosting and monitoring tools exist and provide quick integration into existing system designs. And why build your own system monitoring or log aggregation solution when a service can be consumed? We can also consider an example of application metrics and logging.

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