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Scala:Applied Machine Learning by Alex Kozlov, Patrick R. Nicolas, Pascal Bugnion

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Why Scala?

Like most functional languages, Scala provides developers and scientists with a toolbox to implement iterative computations that can be easily woven into a coherent dataflow. To some extent, Scala can be regarded as an extension of the popular MapReduce model for distributed computation of large amounts of data. Among the capabilities of the language, the following features are deemed essential in machine learning and statistical analysis.

Abstraction

Functors and monads are important concepts in functional programming. Monads are derived from the category and group theory that allow developers to create a high-level abstraction as illustrated in Scalaz, Twitter's Algebird, or Google's Breeze Scala libraries. More information about these ...

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