Why R? Webinar – JD Long – Helping drive data science adoption in organizations
This article is originally published at
July 2nd (8:00pm UTC+2) is a date for the last Webinar at Why R? Foundation during season 1!. This week JD Long will talk about Taking friction out of R: helping drive data science adoption in organizations.
See you on the Webinar!
Details
- donate: whyr.pl/donate/
- channel: youtube.com/WhyRFoundation
- date: every Thursday 8:00 pm GMT+2
- format: 45 minutes long talk streamed on YouTube + 10 minutes for Q&A
- comments: ask questions on YouTube live chat
Previous talks
Leon Eyrich Jessen In Silico Immunology: Neural Networks for Modelling Molecular Interactions using Tensorflow via Keras in R. Video
Erin Hodgess Using R with High Performance Tools on a Windows Laptop. Video
Julia Silge Understanding Word Embeddings. Video
Bernd Bischl, Florian Pfisterer and Martin Binder Pipelines and AutoML with mlr3. Video
Mateusz Zawisza + Armin Reinert Uplift modeling for marketing campaigns. Video
Erin LeDell - Scalable Automatic Machine Learning in R with H2O AutoML. Video
Ahmadou Dicko - Humanitarian Data Analysis with R. Video
Dr. Nina Zumel and Dr. John Mount from win-vector - Advanced Data Preparation for Supervised Machine Learning. Video
Lorenzo Braschi - rZYPAD: Development pipeline for R production. Video
Robin Lovelace and Jakub Nowosad (authors of Geocomputation with R) - Recent changes in R spatial and how to be ready for them. Video
Heidi Seibold, Department of Statistics (collaboration with LMU Open Science Center) (University of Munich) - Teaching Machine Learning online. Video
Olgun Aydin - PwC Poland - Introduction to shinyMobile. Video
Achim Zeileis from Universität Innsbruck - R/exams: A One-for-All Exams Generator - Online Tests, Live Quizzes, and Written Exams with R. Video
Stay up to date
- subscribe to YouTube channel youtube.com/c/WhyRFoundation
- join Why R? Slack whyr.pl/slack/
- join Meetup
Thanks for visiting r-craft.org
This article is originally published at
Please visit source website for post related comments.