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![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg)
“Do More with R” video tutorials
Search for R video tutorials by task, topic, or package. Most videos are shorter than 10 minutes
OpenAI debuts Python-based Triton for GPU-powered machine learning
Triton uses Python’s syntax to compile to GPU-native code, without the complexities of GPU programming.
Easy interactive ggplot graphs in R with ggiraph
See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another.
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How to create interactive ggplot graphics with the ggiraph R package
See how easy it is to create interactive Web graphs from your ggplot2 visualizations – including linked graphs, so clicking one dataviz affects another one – with the ggiraph R package.
The importance of classifying analytics
Aligning the right metrics to the right use case allows for timelier reporting and reduces application risk.
How to run R in Visual Studio Code
If you’re an R programmer hoping to try GitHub Copilot, you’ll need to use Microsoft’s Visual Code Studio. Here’s how to set up and use VS Code for R.
![Conceptual trend lines track + monitor data analytics [forecasting / future / what's next]](https://images.idgesg.net/images/article/2021/02/conceptual_trend_lines_data_tracking_monitoring_analytics_forecasting_future_whats_next_by_solarseven_gettyimages-1213574690_2400x1600-100877726-small.3x2.jpg){kind=tracking}
An introduction to time series forecasting
Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.
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How to set up VSCode for R
R users: Do you want to be ready for GitHub Copilot? Then you’ll need to write your R code in Microsoft’s Visual Studio Code. Here’s how to set up VSCode for R. Check out how to set up Python in RStudio here:...
6 essential Python tools for data science—now improved
SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects.
Unifying streaming and stored data
The next frontier for data processing is a new platform capable of delivering insights, actions, and value the instant data is born.
The real successes of AI
Despite the hype, especially around self-driving cars, AI is writing code, designing Google chip floor plans, and telling us how much to trust it.
5 AI startups out to change the world
Deep learning is solving challenging problems in industries as diverse as retail, manufacturing, and agriculture. These companies are leading the way.
How to use R with BigQuery
See how to use R to query data in Google BigQuery with the bigrquery and dplyr R packages.
Getting started with time series analysis
Time series analysis involves identifying attributes of your time series data, such as trend and seasonality, by measuring statistical properties.
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How to use R with BigQuery
Learn how to analyze data in BigQuery with R and the bigrquery package.
How the cloud and big compute are remaking HPC
High-performance computing projects require massive quantities of compute resources. Pairing simulation and specialized hardware with the cloud powers the breakthroughs of the future.
Rethinking data architectures for a cloud world
An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data.
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