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Java Deep Learning Projects by Md. Rezaul Karim

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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 ...

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