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Travis Goleman

Data Science for Business

    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    Supervised learners can further help predict numeric values such as laboratory values, income, and test scores. T
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    but the target values deliver a supervisory role that guides the learner in whatever they need to learn.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    The learning algorithm will try to identify and model the association between the target feature and other features. Predictive models don’t require one to forecast future events.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    A predictive model is the best to use if you have tasks that alter the prediction of one value by applying another value in the data set.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    Which type a Data Scientist should select depends on the task at hand and what he or she needs to achieve.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    In brief, supervised learners create a predictive model while unsupervised learners build a descriptive model.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    Machine Learning Algorithms
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    is vital to pay attention to what these features represent because both the number and type of features in the data set
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    If the following categories have a specific order, then the feature is referred to as ordinal.
    Menna Abu Zahramembuat kutipan2 tahun yang lalu
    represented by a set of classifiers, the feature is referred to as nominal or categorical.
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