Scala for Machine Learning

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Название: Scala for Machine Learning

автор: Patrick R. Nicolas

Издательство: Packt Publishing

Год выпуска: 2014

ISBN: 978-1783558742

Формат: PDF

Размер: 10 MB

Количество страниц: 520

Язык: Английский

Описание: The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies.

The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits.

Next, you'll learn about data preprocessing and filtering techniques. Following this, you'll move on to clustering and dimension reduction, Naïve Bayes, regression models, sequential data, regularization and kernelization, support vector machines, neural networks, generic algorithms, and re-enforcement learning. A review of the Akka framework and Apache Spark clusters concludes the tutorial.