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Machine Learning and BigML

  • What is Machine Learning and what can I use it for?
  • What are some examples of problems that could be solved applying Machine Learning?
  • When should a company apply Machine Learning techniques?
  • What is the best Machine Learning model for me?
  • How much data does my company need to obtain good results?
  • How many employees does my company need to build a predictive application?
  • What are some of the popular algorithms for Machine Learning?
  • What Machine Learning algorithms does BigML offer?
  • How is BigML different than other Machine Learning tools? Why should I use it?
  • What is a BigML resource?
  • How do I refer to my resources in BigML?
  • Which models does BigML work with?
  • Why should I use a cloud-based Machine Learning service?
  • How do you know which method is the best one?
  • How can a machine-learned model make predictions on data that was not part of the training data?
  • I am with a Small Business, can I use BigML to make data-driven decisions even without hardcore technical skills?
  • What are the top tips for SMB marketeers getting started with predictive modeling?
  • What is the best way to reference BigML in scientific articles?
  • What is the difference between the terms SDK, bindings or libraries?

Any other questions?

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