Java Deep Learning Projects

Working principles of ML algorithms

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:

"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E."

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 ...