Recommendation Systems Training in Swansea

Recommendation Systems Training in Swansea

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

Swansea- Princess House

Princess House
Princess Way
Swansea, GLA SA1 3LW
United Kingdom
Glamorgan GB
Swansea- Princess House
The Princess House Centre is located in the heart of Swansea with panoramic views over the city, Swansea Bay and the Gower area of outstanding natural beauty. These offices are in a prime location and have recently undergone a major refurbishment. Swansea is an inspiring place to do business in a... Read more

Recommendation Systems Course Events - Swansea

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
dsstne Amazon DSSTNE: Build a recommendation system Swansea- Princess House 7 hours Thu, 2018-05-17 09:30 £1100 / £1250
dsstne Amazon DSSTNE: Build a recommendation system Swansea- Princess House 7 hours Wed, 2018-07-11 09:30 £1100 / £1250
dsstne Amazon DSSTNE: Build a recommendation system Swansea- Princess House 7 hours Wed, 2018-08-29 09:30 £1100 / £1250
dsstne Amazon DSSTNE: Build a recommendation system Swansea- Princess House 7 hours Fri, 2018-10-26 09:30 £1100 / £1250

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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