Movie Recommendation With Recommenderlab
To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie...continue reading.
R News from another blog for R community
Beta release of data analysis chapters: Evidence-based software engineering
When I started my evidence-based software engineering book, nobody had written a data analysis book for software developers, so I had to write one (in fact, a book on this...continue reading.
Beta release of data analysis chapters: Evidence-based software engineering
When I started my evidence-based software engineering book, nobody had written a data analysis book for software developers, so I had to write one (in fact, a book on this...continue reading.
Towards privacy: Encrypted deep learning with Syft and Keras
Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from...continue reading.
dplyr 1.0.0 for package developers
As you’re hopefully aware, dplyr 1.0.0 is coming soon, and we’ve been writing a series of blog posts about the user-facing changes that you, as a data scientist have to...continue reading.
Why R? Webinar – rZYPAD – Development pipeline for R production
April 30th (8:00pm GMT+2) is another date for a webinar at Why R? Foundation YouTube channel. We will have a blast talk by Lorenzo Braschi from Roche IT. The title...continue reading.
X is for scale_x
These next two posts will deal with formatting scales in ggplot2 – x-axis, y-axis – so I’ll try to limit the amount of overlap and repetition.Let’s say I wanted to...continue reading.
Tips before migrating to a newer R version
A summary of common problems that my colleagues and I had when migrating R / packages to newer version.continue reading.
Avoid Irrelevancy and Fire Drills in Data Science Teams
Balancing the twin threats of data science development Data science leaders naturally want to maximize the value their teams deliver to their organization, and that often means helping them navigate...continue reading.
Towards privacy: Encrypted deep learning with Syft and Keras
Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from...continue reading.
Avoid Irrelevancy and Fire Drills in Data Science Teams
Balancing the twin threats of Data Science Development Data science leaders naturally want to maximize the value their teams deliver to their organization, and that often means helping them navigate...continue reading.
Pattern-Matching Callbacks in Dash
📌 Learn about this feature in a special live webinar and AMA on May 7, 2020 at 1pm EDT with Plotly’s CTO and cofounder, Alex Johnson. Written by: Alex Johnson, Plotly CTO Before...continue reading.
R 4.0.0 now available, and a look back at R’s history
R 4.0.0 was released in source form on Friday, and binaries for Windows, Mac and Linux are available for download now. As the version number bump suggests, this is a...continue reading.
Satellite Image Analysis with fast.ai for Disaster Recovery
By Marek Rogala and Jędrzej Świeżewski, PhD In this article, we focus on the technical aspects of the machine learning solution that we implemented for the xView2 competition. We created...continue reading.
W is for Write and Read Data – Fast
Once again, I’m dipping outside of the tidyverse, but this package and its functions have been really useful in getting data quickly in (and out) of R.For work, I have...continue reading.
R is everywhere
R is widely popular and incredibly useful for people working as Data Scientists or in companies. But you can also use R for more simple things, like creating a nice...continue reading.
Essential list of useful R packages for data scientists
I have written couple of blog posts on R packages (here | here ) and this blog post is sort of a preset of all the most needed packages for...continue reading.
Exploring NACE codes
A quick one today. If you work with economic data, you’ll be confronted to NACE code sooner or later. NACE stands for Nomenclature statistique des Activités économiques dans la Communauté...continue reading.
Exploring NACE codes
A quick one today. If you work with economic data, you’ll be confronted to NACE code sooner or later. NACE stands for Nomenclature statistique des Activités économiques dans la Communauté...continue reading.
March 2020: “Top 40” New CRAN Packages
Two hundred ninety-six new packages made it to CRAN in March. Here are my “Top 40” picks in ten categories: Computational Methods, Data, Machine Learning, Mathematics, Medicine, Science, Statistics, Time...continue reading.
