Scala for Data Science by Pascal Bugnion

Scala for Data Science Pascal Bugnion ebook
Page: 183
Publisher: Packt Publishing
Format: pdf
ISBN: 9781785281372

Data Scientists and Data Engineers like Python and Scala. I know that Spark is fully integrated with Scala. What would be most interesting projects/services in healthcare that involves high- tech like mobile, big data, and data science? Upcoming SlideShare Loading in 5 × Scala and Spark are Ideal for Big Data - Data Science Pop-up Seattle 1. It's use case is specifically for large data sets. Eventbrite - Galvanize presents Intro to Data Science with Scala - Tuesday, April 28, 2015 at San Francisco – SoMa, San Francisco, CA. Modern computing has no shortage of tools for the data scientist. €TrendCalculus: A data science for trends” by Andrew Morgan. Aas - Code to accompany Advanced Analytics with Spark from O'Reilly Media. Andrew Morgan, CEO @byteSumo talk at @ds_ldn meetup. Welcome - The Rise of the Full-stack Scala Employee Track A 10: 20am. Scala By the Bay (Aug 13-16) + Big Data Scala (Aug 16-18), Bay Area separate conferences, with BDS expanding into data science and data management. Scala and its ecosystem deserve a place in every data engineer's toolbox. There is clearly a market for a good book about using Scala for statistical computing, machine learning and data science. This API is inspired by data frames in R and Python (Pandas), but designed APIs for Python, Java, Scala, and R (in development via SparkR). Apache Spark Essentials (Python or Scala); Data Science with Apache Spark; Advanced: Exploring Wikipedia with Spark (Tackling a unified use case). Senior Software Engineer- Java or Scala - Data Science job in New York City, New York, US. Contribute to scala-data-science development by creating an account on GitHub. I'm interested in statistics, machine learning, natural language processing, json manipulation, and linear and abstract algebra. Which other tools have good Scala support?