Access to Ethereum-Based Blockchains Through Geth Nodes (gethr)Full access to the Geth command line interface for running full Ethereum nodes. With gethr it is possible to carry out different tasks such as mine eth …

By SciForce

By Stephen Smith, Eckerson Group.

Poisson approximation

Learn how to bootstrap your Machine Learning portfolio, which data visualization libraries to use, main approaches to Ensemble learning, how to do text summarization, and check our special offers for leading analytics, AI, and Data Science events below.

Provenance Visualizer (provViz)Displays provenance graphically for provenance collected by the ‘rdt’ or ‘rdtLite’ packages, or other tools providing compatible PROV JSON output. The …

It was probably not difficult to discern from my previous Drill-themed post that I’m fairly excited about the Apache Drill 1.15.0 release. I’ve rounded out most of the existing corners for it in preparation for a long-overdue CRAN update and have been concentrating on two helper features: configuring & launching Drill embedded Docker containers and auto-generation of Drill CTAS queries.

As with the other videos from our codecentric.ai Bootcamp (Random Forests, Neural Nets & Gradient Boosting), I am again sharing an English version of the script (plus R code) for this most recent addition on How Convolutional Neural Nets work.

Last February I reviewed the jamovi menu-based front end to R. I’ve reviewed five more user interfaces since then, and have developed a more comprehensive template to make it easier to compare them all. Now I’m cycling back to jamovi, using that template to write a far more comprehensive review. I’ve added this review to the previous set, and I’m releasing it as a blog post so that it will be syndicated on R-Bloggers, StatsBlogs, et al.

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