Scala for Data Science by Pascal Bugnion
Scala for Data Science Pascal Bugnion ebook
Publisher: Packt Publishing
Data transformation techniques based on both Spark SQL and functional programming in Scala and Python. Aas - Code to accompany Advanced Analytics with Spark from O'Reilly Media. Combined with Spark's dataframes, ND4J is making real data science viable in Scala. There is clearly a market for a good book about using Scala for statistical computing, machine learning and data science. I'm interested in statistics, machine learning, natural language processing, json manipulation, and linear and abstract algebra. Scala and Spark Notebook: The Next Generation Data Science Toolkit Andy Petrella at Data Fellas wants you to be productive with your data. Contribute to scala-data-science development by creating an account on GitHub. Scala and Spark are each great tools for data processing and they work well together. Data Science has a reputation for being complicated, but with the help of Scala and Scalding most patterns can be significantly simplified. Awesome-scala - A community driven list of useful Scala libraries, Libraries for scientific computing, data analysis and numerical processing. 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. Welcome - The Rise of the Full-stack Scala Employee Track A 10: 20am. 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.