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?