In this blog post we will go through the different approaches to predictive maintenance. Right data is always the foundation and different types of machine learning algorithms can be used depending on the current situation and the problem/value we are aiming for.
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In this blog post we are talking about something that in machine learning is called data leakage. Please, do not misunderstand it as the leakage of data to the public. Data leakage in machine learning is when using a feature for predicting the output, that at the time of prediction cannot be available. In many cases, the feature holds information about the value we are trying to predict.
It is now close to a year since our first blog post Why we started a machine learning consultancy which is still getting a lot of interest. So we thought it was time to do a part two, telling the story of where we are now and how much has changed.
We believe that AI and machine learning are among the technologies that will have the greatest impact on our daily life in the near future.