Intel® and Anaconda®: Python Data Science at Scale | Intel® On | Intel Software

Intel® and Anaconda® have partnered to bring high-performance Python optimizations with simple installations. Rachel Oberman and Todd Tomashek of Intel, and Albert DeFusco of Anaconda, show how with minimal code changes you can accelerate pre-processing, model training, and model inference. See the power of this end-to-end solution in action using the New York City Taxi dataset.

By simply using Intel packages available in the Anaconda defaults channel, you can speed model development using large datasets from hours to minutes.
Learn from Rachel Oberman, Intel AI Technical Consulting Engineer, Todd Tomashek, Intel Machine Learning Engineer, and Albert DeFusco of Anaconda, as they explain:
• What this collaboration has produced
• What kinds of performance improvements have been achieved from pre-processing with Modin to training and inference with scikit-learn and PyTorch
• How to predict how much New York City taxi rides will cost using a 58GB dataset of 380 million rides – in a matter of minutes
• How to find and install these tools in Anaconda

The Intel® Developer Zone encourages and supports software developers developing applications for Intel hardware and software products. The Intel Software YouTube channel is a place to learn tips and tricks, get the latest news, and watch product demos from Intel and our many partners across multiple fields. You'll find videos covering the topics listed below, and to learn more, you can follow the links provided!

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Intel® and Anaconda®: Python Data Science at Scale | Intel® On | Intel Software

[Cardroid]

I wish Intel would get rid of PowerPoints in these videos.. it’s so boring. Run the demos right away.. you only get 1 min to capture viewers attention. + We can’t even read the slides..