Predictive modelling and the creation of AI and Machine Learning programs are two similar processes - this whitepaper outlines (at a high level) the process for developing such models.  It is designed for people who need to understand the process for developing predictive and AI models because they interface in some way with technical analysts.  This could be as a business user who interacts with the analytics team, a person involved with the preparation of data sets or a user of the outputs from a modelling process.  This whitepaper does not instruct people on how to build these models, but it covers the steps involved and the practical issues to consider.
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Chapters include:

  1.  What is a model?
  2.  What are predictive and AI models?
  3.  Steps in predictive and AI model development
    • Plan
    • Build
    • Implement

 

For lighter reading on predictive and AI modelling, check out our blog article: 3 Business inefficiencies solved through AI & Machine Learning

 

Interested?  Please enter your details below to download a copy of Datamine's Whitepaper on Predictive and AI Modelling