Home Forums Interview Questions and Discussion how does Machine Learning actually work?

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    blogger rajeev

    one of the more important concepts to know in Machine Learning is being able to
    distinguish supervised and unsupervised learning.

    In supervised learning, we have a set of training
    data, or labeled data, in which we know the structure and the outcome of it.
    We take this data and train a machine learning model, so it can understand patterns in the data.
    Once the model has been trained, we can use it to predict the results of out-of-sample data, or data in which the results are unknown.

    Conversely, if we are given a set of data that is unstructured, then we can apply unsupervised machine learning models to find patterns that exist within that data.

    Note-as given in “Machine Learning for Python” course at cognitiveclass.ai

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