Recommendation Systems Training in London

Recommendation Systems Training in London

Local instructor-led live Recommendation Systems training courses in London.

London - Victoria
Learn Recommendation Systems in our training center in London. Purpose built conference, training and meeting venue with private outdoor garden space in Pimlico, Victoria. Superb private courtyard garden ideal for teambuilding and networking. Great location in Victoria at the junction of Drummond Gate and Vauxhall Bridge Road. Adjacent to Pimlico underground station and a short walk from Victoria mainline and underground stations. Read more
London, Hatton Garden
Learn Recommendation Systems in our training center in London.

Overview

Located near Farringdon and Chancery Lane.

A stylish and impressive eight-storey Art Deco building ideal for hosting a range of training, conferences and meetings near Farringdon and Chancery Lane stations.

Directions

The Hatton is located in London's Diamond District in Hatton Garden.

By Underground, Farringdon Station (Metropolitan, Circle, Hammersmith and City lines)
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London, Marble Arch
Learn Recommendation Systems in our training center in London.

Situated on Edgware Road just minutes away from Marble Arch Station and Bond Street, the venue offers a contemporary designed, high quality conference, training and meeting venue with extensive break out facilities.

Close to the extensive shopping and department stores on Oxford Street. Freshly prepared food is served onsite by our chefs from a theatre style kitchen

By Underground

Central line to Marble Arch Station

When you exit the...

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Testimonials

★★★★★
★★★★★

Recommendation Systems Course Events - London

Recommendation Systems Course Outlines in London

Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
Overview
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

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
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