This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Their approach, called algorithms with predictions, takes advantage of the insights machine learning tools can provide into the data that traditional algorithms handle. These tools have, in a real way ...

Learn Data Mining Through Excel takes you through the basics of machine learning step by step and shows how you can implement many algorithms using basic Excel functions and a few of the ...

Machine learning is a blanket term encompassing wide range algorithms that learn from datasets to provide: Recommendations. Decisions. Predictions.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Meta-Learning This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful.