Classification
Thanks to these algorithms we’re able to carry out market basket analysis and examine our clients’ shopping habits.
Study which products usually sell together and what your client looked at before placing an order.
In our work we use many different methods of classification to come up with the most efficient one.
intelari@intelari.pl
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Types of classification models
Naive Bayes (naive Bayes classifier)
SVM (support vector machine)
k-NN (k nearest neighbors)
Decision Tree
Why Machine Learning
Machine learning is an innovative approach to programming, now available for every company.
It allows for a comparative analysis that wasn’t possible before. The system does all the work finding data patterns.
Its properties prove to be the most useful when creating algorithms is especially difficult and even advanced mathematical techniques don’t help.
Thanks to machine learning we can predict, cluster, and classify data in the most efficient way possible.