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Quantum computing promises to accelerate analytics faster than the speed of light, but it still feels slightly unreal, in spite of the first signs of broad commercialization
Learn why neural networks are so powerful, how and where they’re used, and how to get started — no programming necessary
An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware
Make your R data.table code more efficient and elegant with these special symbols and operators. Plus, learn about the new fcase() function
Google's machine learning toolkit for Kubernetes helps data scientists manage machine learning workflows and deploy and scale models in production
Zero-shot learning repurposes knowledge through statistical or semantic approaches without needing huge amounts of fresh training data
TensorFlow still has certain advantages, but a stronger case can be made for PyTorch every day
You can watch dozens of must-see RStudio Conference videos online. Don't know where to start? Let us help
When a single vendor owns an open source project, expect the community to look for alternatives
See how to style the headlines and axis text in your ggplot graphs with the ggtext package for R