Scala for Data Science Pascal Bugnion
Publisher: Packt Publishing

Data transformation techniques based on both Spark SQL and functional programming in Scala and Python. Data Science has a reputation for being complicated, but with the help of Scala and Scalding most patterns can be significantly simplified. It's use case is specifically for large data sets. Have a good, well-designed library for scientific computing, including non-uniform random number generation and linear algebra. Aas - Code to accompany Advanced Analytics with Spark from O'Reilly Media. 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. There are 11 remote data science + scala jobs at startups like CrowdFlower, Receiptful and DataRobot. This is the second blog in our series about Data Science and Apache Hadoop. I'm interested in statistics, machine learning, natural language processing, json manipulation, and linear and abstract algebra. There has been a lot of discussion on-line recently about languages for data analysis, statistical computing, and data science more generally. 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. Find your next data scientist scala job and jump-start your career with Simply Hired's job search engine. 623 data scientist scala jobs available. I know that Spark is fully integrated with Scala. There are 11 remote scala + data science jobs at startups like CrowdFlower, Receiptful and DataRobot. Which other tools have good Scala support? Combined with Spark's dataframes, ND4J is making real data science viable in Scala.