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