推荐系统培训

推荐系统培训

Recommender systems (also known as: recommendation systems, recommendation platform or recommendation engine), 推荐系统培训.

推荐系统大纲

代码 名字 时长 概览
dsstne Amazon DSSTNE: Build a recommendation system 7小时 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
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它允许在单个主机上训练单个GPU的权重矩阵太大的模型。 在这个由教师领导的现场培训中,参与者将学习如何使用DSSTNE来建立推荐应用程序。 Amazon DSSTNE是用于培训和部署推荐模型的开源库。