Training ImageNet with R
This post explores how to train large datasets with TensorFlow and R. Specifically, we present how to download and repartition ImageNet, followed by training ImageNet across multiple GPUs in distributed...continue reading.
This post explores how to train large datasets with TensorFlow and R. Specifically, we present how to download and repartition ImageNet, followed by training ImageNet across multiple GPUs in distributed...continue reading.
Hello and welcome to this new issue! Release Date: 2020-08-24 This week’s release was curated by Miles McBain, with help from the RWeekly team members and contributors. How to have...continue reading.
Because I have been getting too many emails with questions and requests for help than I can answer, you can now book 15-minute time-slots with me. I will offer one...continue reading.
Becoming a professional athlete isn’t just about pure talent and hoping that will be enough to excel. Going pro means… The post Going Pro in Analytics appeared first on Mango...continue reading.
Sadly, we cannot meet in-person for the EARL Conference this year, so we’ve decided to go virtual with an online… The post VirtuEARL – EARL Conference online 2020 appeared first...continue reading.
Some time ago, while working on the new edition of the ggplot2 book, I asked out to the R twitterverse what part of using ggplot2 was the most incomprehensible for...continue reading.
The summer school website has been updated with the materials (lecture notes, exercises, and videos) for the Introductory frequentist and Bayesian streams. Details here:https://vasishth.github.io/smlp2020/ continue reading.
Photo by Markus Spiske on Unsplash This is a guest post from RStudio’s partner, ProCogia The rapid advancement of R presents a challenge to reproducibility Thanks to our vibrant and...continue reading.
Photo by Markus Spiske on Unsplash This is a guest post from RStudio’s partner, ProCogia The rapid advancement of R presents a challenge to reproducibility Thanks to our vibrant and...continue reading.
A couple of months ago, Amazon, Facebook, Microsoft, and other contributors initiated a challenge consisting of telling apart real and AI-generated (“fake”) videos. We show how to approach this challenge...continue reading.
Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. In the previous post in...continue reading.
On the RStudio Developer Blog we’ve recently written a series on interoperability and R, including why enterprises should embrace workflows that are open to diverse toolsets. The designers of R,...continue reading.
On the RStudio Developer Blog we’ve recently written a series on interoperability and R, including why enterprises should embrace workflows that are open to diverse toolsets. The designers of R,...continue reading.
Hello and welcome to this new issue! Release Date: 2020-08-10 How to have (my) content shared by R Weekly? This week’s release was curated by Ryo Nakagawara, with help from...continue reading.
TL;DR Nobody wants to use a slow dashboard. At Appsilon, we frequently hear this complaint from clients: “We’ve built a fantastic Shiny dashboard, but it’s incredibly slow and no one...continue reading.
Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and infrastructure...continue reading.
If you’re interested in data science and want to become a data professional, you’re probably going to need to make a choice. I think that the industry is going to...continue reading.
Photo by Vlad Hilitanu on Unsplash This is a guest post from RStudio’s partner, Lander Analytics R and Python are two of the more prominent data science languages. These languages...continue reading.
We’ve received requests from a number of you to submit talks for rstudio::global() after the deadline (tomorrow, August 14). We know things are particuarly tough at the moment, so we’re...continue reading.
Photo by Vlad Hilitanu on Unsplash This is a guest post from RStudio’s partner, Lander Analytics R and Python are two of the more prominent data science languages. These languages...continue reading.