Scala for Data Science by Pascal Bugnion
Scala for Data Science Pascal Bugnion ebook
Publisher: Packt Publishing
I'm interested in statistics, machine learning, natural language processing, json manipulation, and linear and abstract algebra. 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). The Data Science Report is a daily blog that captures the day's most compelling news, Discussing “How Spark is a logical extension of Scala. 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. Welcome - The Rise of the Full-stack Scala Employee Track A 10: 20am. Upcoming SlideShare Loading in 5 × Scala and Spark are Ideal for Big Data - Data Science Pop-up Seattle 1. It also brings together data scientists using Scala already and those exploring it to learn how Scala ecosystem enables Big Data Science. Data loves a data driven world, which Scala accomplishes with Pattern Matching. And now, finally, this blog entry is completely dedicated to Apache Spark with examples in Scala and Python. View details & apply online for this Data Scientists - Python, R, Scala, Java or Matlab vacancy on reed.co.uk, the UK's #1 job site. Aas - Code to accompany Advanced Analytics with Spark from O'Reilly Media. There is clearly a market for a good book about using Scala for statistical computing, machine learning and data science.