Recommendation Systems Training in Bath

Recommendation Systems Training in Bath

Recommender systems (also known as: recommendation systems, recommendation platform or recommendation engine) training.

Bristol, Temple Gate

Citypoint
Temple Gate
Bristol, BST BS1 6PL
United Kingdom
Bristol GB
Bristol, Temple Gate
The training rooms are located under a 2 minute walk from Bristol Temple Meads Railway station. From the main exit at Temple Meads Railway Station City Point...Read more

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Course Outlines

Code Name Duration Outline
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

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