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Build next generation recommenders with NVIDIA Merlin
Tuesday Sep 8 2020 16:00 GMT
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Build next generation recommenders with NVIDIA Merlin
Why This Is Interesting

Recommender Systems are one of the most practical categories in Machine Learning, that is used to make millions of recommendations on a daily basis to users in a business.

NVIDIA Merlin is a framework for building high-performance, deep learning-based recommender systems.

Discussion Points

Merlin includes tools for building deep learning-based recommendation systems that provide better predictions than traditional methods and increase click-through rates. Each stage of the pipeline is optimized to support hundreds of terabytes of data, all accessible through easy-to-use APIs. In this talk, we will go through the introduction to the following Merlin components and why they are key to your development of Deep Recommender Systems:

NVTabular reduces data preparation time by GPU-accelerating feature transformations and preprocessing.

HugeCTR is a deep neural network training framework that is capable of distributed training across multiple GPUs and nodes for maximum performance.

NVIDIA Triton™ Inference Server and NVIDIA® TensorRT™ accelerate production inference on GPUs for feature transforms and neural network execution.

Time of Recording: Tuesday Sep 8 2020 16:00 GMT