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49 For example, a predictive algorithm will
understanding of how the data set
create a predictive model. Then, when
is classified. Supervised learning
you provide the predictive model with
finds patterns in data which can then
data, you will receive a prediction based
be applied to an analytics process.
on the data that trained the model,� explains IBM. This technology is used to improve
2. Unsupervised learning This approach is used when a
the accuracy of predictive models.
problem requires a mass amount
Depending on the business problem,
of unlabeled data. Understanding
there are four approaches to harness
the meaning of this data requires
machine learning alongside data.
algorithms to classify the data based on patterns or clusters it finds.
1. Supervised learning
This form of learning is conducted
Supervised learning typically starts
without human intervention.
with an established data set and an w w w.te c hno l o gyma ga z in e. com