Recommendation Systems Training in Bristol

Recommendation Systems Training in Bristol

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

Bristol, Temple Gate
Learn Recommendation Systems in our training center in Bristol.

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 is directly in front (approx 200 metres). On arrival in main reception a receptionist will direct you to the correct training room. If travelling by car there is a public car park at the rear of the building.

 

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Recommendation Systems Course Events - Bristol

CodeNameVenueDurationCourse DateCourse Price [Remote / Classroom]
dsstneAmazon DSSTNE: Build a Recommendation SystemBristol, Temple Gate7 hoursWed, 2018-11-07 09:30£1100 / £1350
psrIntroduction to Recommendation SystemsBristol, Temple Gate7 hoursFri, 2018-11-23 09:30£1100 / £1350
dsstneAmazon DSSTNE: Build a Recommendation SystemBristol, Temple Gate7 hoursFri, 2019-01-04 09:30£1100 / £1350
psrIntroduction to Recommendation SystemsBristol, Temple Gate7 hoursWed, 2019-01-16 09:30£1100 / £1350
dsstneAmazon DSSTNE: Build a Recommendation SystemBristol, Temple Gate7 hoursMon, 2019-02-25 09:30£1100 / £1350
psrIntroduction to Recommendation SystemsBristol, Temple Gate7 hoursThu, 2019-03-07 09:30£1100 / £1350

Recommendation Systems Course Outlines in Bristol

CodeNameDurationOverview
psrIntroduction to Recommendation Systems7 hoursAudience

Marketing department employees, IT strategists and other people involved in decisions related to the design and implementation of recommender systems.

Format

Short theoretical background follow by analysing working examples and short, simple exercises.
dsstneAmazon DSSTNE: Build a Recommendation System7 hoursAmazon 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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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Selenium WebDriver in C#: Introduction to Web Testing Automation in C# Sheffield Wed, 2018-09-26 09:30 £2178 / £2578
Introduction to Ansible Automation London, Hatton Garden Mon, 2018-10-08 09:30 £1089 / £1464
Jenkins: Continuous Integration for Agile Development Manchester, King Street Thu, 2018-10-18 09:30 £2574 / £3224
Introduction to Recommendation Systems Swansea- Princess House Thu, 2018-10-18 09:30 £990 / £1140
Impact Evaluation – Quantitative Analysis London, Hatton Garden Wed, 2018-10-24 09:30 £2574 / £3324
CakePHP: Rapid Web Application Development Birmingham Tue, 2018-11-06 09:30 £4356 / £5656

Course Discounts Newsletter

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