Scala for Data Science. Pascal Bugnion

Scala for Data Science


Scala.for.Data.Science.pdf
ISBN: 9781785281372 | 183 pages | 5 Mb


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Scala for Data Science Pascal Bugnion
Publisher: Packt Publishing



A new conference for data engineers, data scientists, developers, and data managers who use the Scala language to build big data pipelines. Have a good, well-designed library for scientific computing, including non-uniform random number generation and linear algebra. Modern computing has no shortage of tools for the data scientist. What would be most interesting projects/services in healthcare that involves high- tech like mobile, big data, and data science? Contribute to scala-data-science development by creating an account on GitHub. Created by Data Science and IoT professionals, the course covers Data, For Big Data, the course is focussed on Apache Spark – specifically Scala, SQL, mlib. There has been a lot of discussion on-line recently about languages for data analysis, statistical computing, and data science more generally. Apache Spark Essentials (Python or Scala); Data Science with Apache Spark; Advanced: Exploring Wikipedia with Spark (Tackling a unified use case). Data Science has a reputation for being complicated, but with the help of Scala and Scalding most patterns can be significantly simplified. That will focus on end-to-end big data pipelines in Scala, and on data science on the JVM.





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