A Case Study of Text Analytics in AllenNLP, Google, Amazon, AWS, Azure and IBM Watson

Recently, I was introduced to Allen Institute for AI and was impressed by AllenNLP. This Natural Language Processing (NLP) project is an open source deep learning toolkit with a set of pre-trained core models and applications mainly for NLP such as Semantic Role Labeling, Natural Entity Recognition (NER), and Textual...

Introducing R-Brain: A New Data Science Platform

Introducing R-Brain: A New Data Science Platform R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker. It was recently unveiled at JupyterCon in late August. Don’t let the name fool you. R-Brain currently supports R, Python, Structured Query Language (SQL), and more. It has...

RIDE server – a Multi-User and Scalable Data Science IDE Server

Moving to a server-based infrastructure necessitates choosing a platform that is capable of fully utilizing all the benefits of the container technologies and software development solutions. This whitepaper illustrates how RIDE Server meets all key attributes required for a server-based IDE. Powered by Jupyter and Eclipse Che, RIDE Server delivers...

RIDE – A new data science IDE for R, Python, Scala and SQL

RIDE - A new data science IDE for R, Python, Scala and SQL The data science world is split into two parts: the (i)Python and the R community. Both groups offer a plethora of tools and libraries enriching our work-life as a data scientist. Interestingly, many of the offerings are...

Visual debugging with RIDE

Visual debugging with RIDE On R-Blogger there was an interesting article that compares debugging support for R in RStudio and Eclipse StatET [1]. I liked that article very much, but it misses the new RIDE environment, which I am going to add to the comparison in this article. RIDE is...