We now refer to a famous definition of ML by Tom M. Mitchell (Machine Learning, Tom Mitchell, McGraw Hill), where he explained what learning really means from a computer science perspective:
Based on this definition, we can conclude that a computer program or machine can do the following:
- Learn from data and histories
- Improve with experience
- Iteratively enhance a model that can be used to predict outcomes of questions
Since they are at the core of predictive analytics, almost every ML algorithm we use can ...