Recommendation Systems Training Courses
Recommender systems (also known as: recommendation systems, recommendation platform or recommendation engine) training.
Recommendation Systems Course Outlines
|dsstne||Amazon DSSTNE: Build a recommendation system||7 hours||Amazon DSSTNE is an open-source library for training and deploying recommendation models. It allows models with weight matrices that are too large for a single GPU to be trained on a single host. In this instructor-led, live training, participants will learn how to use DSSTNE to build a recommendation application. By the end of this training, participants will be able to: Train a recommendation model with sparse datasets as input Scale training and prediction models over multiple GPUs Spread out computation and storage in a model-parallel fashion Generate Amazon-like personalized product recommendations Deploy a production-ready application that can scale at heavy workloads Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.|
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