[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
[unable to retrieve full-text content]An overview and a small tutorial showing how to analyze a dataset using Apache Spark, graphframes, and Java.
Original Post: Graph Analytics Using Big Data
[unable to retrieve full-text content]The way most Machine Learning models work on Spark are not straightforward, and they need lots of feature engineering to work. That’s why we created the feature engineering section inside the Optimus Data Frame Transformer.
Original Post: Machine Learning with Optimus on Apache Spark