Tag - We’re

Andrej Karpathy

Yes you should understand backprop When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the lowest level. The students had to i...

Competition: WhyR 2018

Share Tweet The competition It’s competition time! We’re sponsoring Why R? 2018 Conference. The conference runs from the 2-5th of July in Wroclaw, Poland and us nice folks here at Jumping Rivers are giving away a free ticket to the conference! The co...

Data Scientists vs Data Analysts – Part 1

With employers trying to keep up with current __data scientists just renamed data analysts? Part 1 of an investigation focuses on the top level numbers and pretty visualisations to highlight key differences. comments By David Sheehan, data Scientist....

Idle thoughts lead to R internals: how to count function arguments

Share Tweet “Some R functions have an awful lot of arguments”, you think to yourself. “I wonder which has the most?” It’s not an original thought: the same question as applied to the R base package is an exercise in the Functions chapter of the excel...

KDnuggets Data Scientists vs Data Analysts – Part 1

With employers trying to keep up with current __data scientists just renamed data analysts? Part 1 of an investigation focuses on the top level numbers and pretty visualisations to highlight key differences. comments By David Sheehan, data Scientist....

So what’s the difference between AI, ML, and DL?

Artificial Intelligence, Machine Learning, and Deep Learning How they’re different and why are they all essential to the Internet of Things. #askIoT We’re all familiar with the term “Artificial Intelligence.” After all, it’s been a popular focus in m...

sparklyr — R interface for Apache Spark

(This article was first published on RStudio Blog, and kindly contributed to R-bloggers) We’re excited today to announce sparklyr, a new package that provides an interface between R and Apache Spark. Over the past couple of years we’ve heard time and...

tibble 1.2.0

(This article was first published on RStudio Blog, and kindly contributed to R-bloggers) We’re proud to announce version 1.2.0 of the tibble package. Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and...