All you need to know about Machine Learning

With real-life examples

Did you know that 90% of all the data today was created the past two years? And that by the end of 2020, every human will generate approximately 1,7MB of new information per second? Or that the computational power has increased by one trillion the past 60 years? It is clear the big data market will grow, and Machine Learning is one of the top trends to handle the ever-increasing amount of data.

Machine learning is a sub-field within AI - a field that uses statistical techniques to give computer systems the ability to learn from data without being explicitly programmed.

This guide describes the technology behind machine learning and how you can use them to assist you in your business.

Use cases for Machine Learning

The practical applications for machine learning are many. They can be divided into the following categories:

  • Supporting Decisions
  • Predictive Analytics
  • Correcting Errors
  • New Insights
  • Operation Efficiency

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