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A Continuous Integration and Continuous Deployment pipeline (CI/CD) is a set of steps that must be followed to deliver a new software version to customers.
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A CI/CD (Continuous Integration and Continuous Deployment) pipeline is a set of steps that must be followed to deliver a new software version to customers.
The Multi-Armed Bandit (MAB) is a machine learning framework that involves an agent making selections, referred to as "arms," with the goal of maximizing its long-term cumulative reward
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The Multi-Armed Bandit (MAB) is a machine learning framework that involves an agent making selections, referred to as "arms," with the goal of maximizing long-term cumulative rewards.
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## N
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A release manager is an IT professional responsible for defining and executing the software release process within a company, ensuring smooth deployment and highquality releases.
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A release manager is an IT professional responsible for defining and executing the software release process within a company, ensuring smooth deployment and high-quality releases.
A staging environment is a dry run for your code under the closest possible parameters to its real-world application. It is a near-perfect replica of the servers, infrastructure, architecture, and application of the actual use environment of your code. The key difference is that it is completely walled off from the front-facing actual environment.
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A staging environment is a dry run for your code under the closest possible parameters to its real-world application. It is a near-perfect replica of the servers, infrastructure, architecture, and application of the actual production environment your code will run in. The key difference is that it is completely walled off from the front-facing actual environment.
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## T
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#### [Type I and Type II Errors](./glossary/type-i-and-type-ii-errors.mdx)
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A Type I error occurs when the null hypothesis is incorrectly rejected while it is actually true, while a Type II error occurs when the null hypothesis is wrongly not rejected while it is actually false.
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A Type I error occurs when the null hypothesis is incorrectly rejected, even though it is actually true. A Type II error occurs when the null hypothesis is wrongly not rejected while it is actually false.
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