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Machine learning (ML) comes under Artificial Intelligence that is a mathematical model build based on sample data known as “training data”. ML systems uses cognitive learning methods to make predictions without being explicitly writing a computer program to do so. In other words, those machines are well known to grow better with experience.
Predictive modeling, on the other hand, is a mathematical technique which uses statistics for prediction. It aims to work upon the provided information to reach an end conclusion after an event has been triggered. So, the end outcome of this model is constrained to program defined outcomes.
ML and Predictive Analytics both serve the same purpose. NYGCI connects your data from business intelligence tools to ML technologies to create a devise that generates complex algorithms and models which lend themselves to a prediction. It is widely used by customers to make decisions and provide results to uncover the hidden growth opportunities by making use of historical learning.
Read More: https://www.nygci.com/machine-learning-predictive-analytics/
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