Recommendation Systems Training in London

Recommendation Systems Training in London

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

London, Hatton Garden

London, Hatton Garden
Etc. Venues 51-53 Hatton Garden
London , LND EC1N 8HN
United Kingdom
London GB
London, Hatton Garden
Overview Located near Farringdon and Chancery Lane. A stylish and impressive eight-storey Art Deco building ideal for hosting a range of training, conferences...Read more

Recommendation Systems Course Events - London

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
dsstne Amazon DSSTNE: Build a recommendation system London, Hatton Garden 7 hours Fri, 2018-02-09 09:30 £1100 / £1475
dsstne Amazon DSSTNE: Build a recommendation system London, Hatton Garden 7 hours Wed, 2018-04-04 09:30 £1100 / £1475
dsstne Amazon DSSTNE: Build a recommendation system London, Hatton Garden 7 hours Wed, 2018-05-23 09:30 £1100 / £1475
dsstne Amazon DSSTNE: Build a recommendation system London, Hatton Garden 7 hours Thu, 2018-07-12 09:30 £1100 / £1475

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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