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    ISO/IEC TS 4213:2022 – Assessment of machine learning classification performance – Part 1

    ISO/IEC TS 4213:2022 – Assessment of machine learning classification performance – Part 1

    Level Understanding Duration 60 minutes
    Available to book: On-demand elearning Book now
    Available to quote: In-house Request a quote

    The main focus of this course is to understand the general principles behind assessing the classification performance of an AI system, the different aspects that can affect classification performance, and a set of basic metrics that we can use to evaluate a classifier.

    On-demand - training that’s even more flexible

    BSI’s on-demand courses are market-leading and available 24/7. Developed by top subject matter experts, they contain the same high-quality content you will find in our tutor-led training, but with the added benefit of being able to learn at your own pace and at any time.

    How will I benefit?

    This course will help you:

    1. Awareness of the main factors affecting performance: you will gain a clear idea of what control criteria is available in the assessment of machine learning classification.
    2. Understanding of the general process of assessing performance in a classification-based AI system.
    3. Awareness of performance assessment techniques: understanding of the main measures available to quantify performance in the context of classification.
    4. Common grounds to compare models: by incorporating these concepts early in the design lifecycle of an AI application, you’ll be able to establish clear grounds to establish how good is the model you are working on, and to compare it to other models in a sensible way.
    • Upon completion of this course, you will be able to:

      • Understand the purpose of assessing classification performance.
      • Understand the general process to assess performance in classification-based AI systems.
      • Apply well known measures, metrics to quantify performance when designing or evaluating AI models in general.
      • Establish a common ground to compare multiple classifier models.
      • AI managers & Team-Leaders
    • You will have access to a downloadable copy of the slides used in this course to keep and refer back to. These can be used as a study guide should you choose to take the optional online exam.

      Benefits of On-Demand for the individual

      Convenient - Courses are available 24/7 and you can learn at any time and from any place that suits you – you just need an internet connection

      Learning pace
      - You can learn as fast or as slowly as you want to. You can also take breaks at any time in the course and pick up where you left off when you are ready to continue

      Information retention
      - During the access period, you can go back and repeat parts or all the course to refresh and reinforce what you have learned

      High-quality materials
      - Developed by top subject matter experts, course content is both detailed and engaging, with explanations, activities, and knowledge checks to enhance your learning

       

      Related training:

      You may also be interested in our ISO/IEC 42001 courses, ISO/IEC 24027 (Bias in AI systems), ISO 24028 (Trustworthiness), and ISO 24029 (Robustness) for deeper understanding key concepts. You may also be interested in AI System Impact Assessment Training.

    • On completion, you’ll be awarded an internationally recognized BSI training course certificate.

    • The course assumes that delegates know some basic math concepts and have a basic understanding on machine learning.

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