In this example, we are going to test three different popular Machine Learning technique: Machine Learning with Logistic Regression, Support Vector Machines and Random Forest algorithm models to predict the number of bikes that will be in service for a given hour of a Divvy station.
In Part 1 of this 2-part blog series, we will work through the first of two Machine Learning examples and describe the communication and collaboration necessary to successfully leverage Machine Learning for business scenarios.
Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Blockchain – with so many different buzzwords, it can be a challenge to understand how they are applicable to your business. Here’s a short primer to help customers make sense of Machine Learning in the Enterprise.
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