[unable to retrieve full-text content]This is the first blog in this series to analyze Big Data using Spark. It provides an introduction to Spark and its ecosystem.
Original Post: Introduction to Apache Spark
[unable to retrieve full-text content]Learn how to install and run Spark yourself; A summary of Spark core architecture and concepts; Spark powerful language APIs and how you can use them.
Original Post: [ebook] Apache Spark™ Under the Hood
[unable to retrieve full-text content]We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.
Original Post: The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
[unable to retrieve full-text content]In this article I’ll continue the discussion on Deep Learning with Apache Spark. I will focus entirely on the DL pipelines library and how to use it from scratch.
Original Post: Deep Learning With Apache Spark: Part 2
[unable to retrieve full-text content]Get ebook with a collection of the most popular technical blog posts that introduce you to machine learning on Apache Spark, and highlight many of the major developments around Spark MLlib and GraphX.
Original Post: Mastering Advanced Analytics with Apache Spark
[unable to retrieve full-text content]Seeking an R&D Spark Developer to join the Genome Informatics team to expand the RGC’s big data infrastructure and develop new algorithms/tools to support various workflows/analyses throughout the RGC and Regeneron.
Original Post: Regeneron Pharmaceuticals: Spark R&D Developer (Data Engineer)
[unable to retrieve full-text content]Also: Boost your data science skills. Learn linear algebra; Apache Spark: Python vs. Scala; Getting Started with spaCy for Natural Language Processing.
Original Post: KDnuggets™ News 18:n19, May 9: KDnuggets Poll: What tools you used for Analytics/Data Science Projects? 8 Useful Advices for Aspiring Data Scientists
[unable to retrieve full-text content]When it comes to using the Apache Spark framework, the data science community is divided in two camps; one which prefers Scala whereas the other preferring Python. This article compares the two, listing their pros and cons.
Original Post: Apache Spark : Python vs. Scala
[unable to retrieve full-text content]Kogentix Automated Machine Learning Platform is the only solution we have seen that runs natively on Spark and includes all of the elements required to build and run a machine learning application.
Original Post: Kogentix Automated Machine Learning Platform
[unable to retrieve full-text content]Holiday Dev & IT sale on best courses from Udemy, including Data Science, Machine Learning, Python, Spark, Tableau, and Hadoop – only $10/$15 until Dec 21, 2017.
Original Post: Best Data Science, Machine Learning Courses from Udemy, only / until Dec 21