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1. Introduction to Collective Intelligence > Other Uses for Learning Algorithms

Other Uses for Learning Algorithms

The methods described in this book are not new, and although the examples focus on Internet-based collective intelligence problems, knowledge of machine-learning algorithms can be helpful for software developers in many other fields. They are particularly useful in areas that deal with large datasets that can be searched for interesting patterns, for example:

Biotechnology

Advances in sequencing and screening technology have created massive datasets of many different kinds, such as DNA sequences, protein structures, compound screens, and RNA expression. Machine-learning techniques are applied extensively to all of these kinds of data in an effort to find patterns that can increase understanding of biological processes.


  

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