• 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?