Recommendation Systems Training in Manchester

Recommendation Systems Training in Manchester

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

Manchester - Centurion House

Manchester, Centurion House
129 Deansgate
Manchester, GTM M3 3WR
United Kingdom
Manchester (Greater) GB
Manchester - Centurion House
Centurion House couldn’t be better placed, giving you access to everything you need within walking distance of the front door. The building is directly facing...Read more

Recommendation Systems Course Events - Manchester

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
dsstne Amazon DSSTNE: Build a recommendation system Manchester, King Street 7 hours Thu, 2018-02-01 09:30 £1100 / £1425
dsstne Amazon DSSTNE: Build a recommendation system Manchester, King Street 7 hours Tue, 2018-03-27 09:30 £1100 / £1425
dsstne Amazon DSSTNE: Build a recommendation system Manchester, King Street 7 hours Tue, 2018-05-15 09:30 £1100 / £1425
dsstne Amazon DSSTNE: Build a recommendation system Manchester, King Street 7 hours Tue, 2018-07-10 09:30 £1100 / £1425

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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