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  2. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]

  3. A software engineer shares the résumé that got him on-site ...

    www.aol.com/software-engineer-shares-r-sum...

    Akshay Phadké has spent the past decade in tech, from Big Tech to startups. He faced countless rejections before four résumé strategies helped him land a job at Microsoft.

  4. Rule-based system - Wikipedia

    en.wikipedia.org/wiki/Rule-based_system

    A classic example of a production rule-based system is the domain-specific expert system that uses rules to make deductions or choices. [1] For example, an expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game.

  5. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.

  6. Knowledge engineering - Wikipedia

    en.wikipedia.org/wiki/Knowledge_engineering

    In the earliest days of expert systems, there was little or no formal process for the creation of the software. Researchers just sat down with domain experts and started programming, often developing the required tools (e.g. inference engines ) at the same time as the applications themselves.

  7. I’m a Career Expert: Here’s Why You Should Put AI on Your Resume

    www.aol.com/m-career-expert-why-put-160017502.html

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