R
25 TopicsLearn Live TidyFridays series - ML with R
Every Friday starting September 2, 2022 through September 23, 2022 join us for a new live learning series where you will be guided by subject matter experts through Learn modules around machine learning fundamentals and R programming in real time along with developers around the globe.1.5KViews0likes0CommentsA walk in the tidyverse
If you worked with R to explore a dataset and build a report from this analysis, you have probably heard about the tidyverse. If you used R in your data science project, to fit a predictive model able to produce the most accurate prediction possible for new data, you have probably experimented with tidymodels. However, questions like “what is the tidyverse” or “how does the tidymodels framework fit in it” might still have no clear answer for you.2.5KViews1like0CommentsGet an introduction to clustering models and learn how to train a clustering model in R
Date: Tuesday July 12, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) RSVP for the session: Introduction to clustering models by using R and Tidymodels - part 4 of 4, Tue, Jul 12, 2022, 4:00 PM | Meetup2KViews0likes0CommentsIntroduction to classification models by using R and Tidymodels part 3 of 4
Date: Tuesday June 21, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) RSVP for the session: Introduction to classification models by using R and Tidymodels part 3 of 4, Tue, Jun 21, 2022, 4:00 PM | Meetup1.5KViews0likes0CommentsCreate Machine Learning Models with R and Tidymodels - new learning path on MS Learn
Looking to embark on a new adventure in data science using the R language? Wishing to learn the foundations of machine learning while R-ing your way through? If you answered yes to one of these questions, we have great news for you.2.2KViews1like0CommentsExplore and analyze data with R - part 1 of 4
Date: May 3, 2022 Live Event Time: 15:00 PM (GMT) 08:00 AM (PT) Join us for the session at Explore and analyze data with R - part 1 of 4, Tue, May 3, 2022, 4:00 PM | Meetup Session Recording: https://youtu.be/jsgscTo6o7Q Let us say the Department of Transportation is considering the addition of a new airport. As the incredible data scientist, you are, you have been requested to explore existing data. The results of your analysis might form the basis of a report or a machine learning mode. In this session, you will explore a real-world dataset containing flights data from the US Department of Transportation.2KViews1like0CommentsBringing R Workloads to Azure Machine Learning Service
The two of the most popular platforms for data science workloads are – R and Python. Both platforms have a large ecosystem of libraries and support which enable developers and innovators to build solutions quickly and efficiently. Looking more closely however, it is quite evident that around the academic and research, R draws at least as many supporters as Python.https://twitter.com/jplane3.3KViews0likes0CommentsDesign against crime & Microsoft Azure with Shiny
First published on MSDN on Aug 19, 2018 Guest blog by Mariam Elgabry Microsoft Student Partner at UCL Crime Science Department uses azure to host a shiny webapp Microsoft student partners IN ACTION! Mariam Elgabry is a Microsoft Student Partner at the University College London completing her Masters of Research on Security and Crime Science whilst entering her PhD on future crimes.1.2KViews0likes0CommentsAzure Notebooks Overview with Shahrokh Mortazavi Free hosted Jupyter Python/R/F# REPL for learning
First published on MSDN on Jan 26, 2018 Learn more about the FREE Jupyter Notebooks services which is hosted on Azure with a interview with Shahrokh Mortazavi Azure Notebooks Lead http://notebooks.542Views0likes0CommentsUniversity of Oxford's Interdisciplinary Bioscience Doctoral Training Programme Data Hack
First published on MSDN on Jan 24, 2018 Guest blog by Ellen Pasternack, DPhil candidate at the University of OxfordAbout me Hi! I'm Ellen Pasternack, a DPhil candidate in the University of Oxford's Interdisciplinary Bioscience Doctoral Training Programme.655Views0likes0Comments