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Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

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Recommendation System Training - New Zealand

Key points about this course


Duration: 1 Days*

Support: 24/7

Dates & Prices Enquire
  • Learn how to interact with constraint-based and case-based recommenders.
  • Become familiarised with monolithic, parallelised, and pipelined hybridisation design.
  • Get an understanding of how to evaluate recommender system.

Available delivery methods for this course

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Online Instructor-Led

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Online Self-Paced

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In-house

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Classroom

Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

animated-arrow-image-0310 Enquire for daily discount code 375 Remaining (Live Counter)

Why Home Virtual is great

With an incredibly easy to use interface, our chosen platform has been designed to make learning online simple and enjoyable. It’s amazing video & audio quality means you won’t miss a thing.

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Works on all devices

Attend on whichever device works best for you.
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Recording & transcripts

Revisit what you’ve learnt at any time.
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See your trainer’s screen

Your instructor can share their screen at any time to demonstrate what they’re teaching.
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Share documents

You can share documents with the trainer and your trainer can share with you.
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Virtual whiteboard

Trainers can draw on and share their whiteboard with the class at any time.
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Key points about this course


Duration: 1 Days*

Support: 24/7

View dates & prices

Find out more

Please enter Name
Please enter valid Email
Please enter valid phone
The information you provide shall be processed by The Knowledge Academy – a professional training company. Your data shall be used by a member of staff to contact you regarding your enquiry. View privacy policy

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+64 800 446148

Recommendation System Training Dates & Prices

Select your preferred delivery method

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Choose a Month

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Fri 19th Jun 2020
Places available
Was: NZD3395
Now: NZD1529
Auckland
Fri 10th Jul 2020
Places available
NZD3895
Wellington
Fri 10th Jul 2020
Places available
NZD3895
Christchurch
Fri 10th Jul 2020
Places available
NZD4295
Hamilton City
Fri 10th Jul 2020
Places available
NZD4295
Fri 24th Jul 2020
Places available
Was: NZD3395
Now: NZD1529
Fri 21st Aug 2020
Places available
Was: NZD3395
Now: NZD1529
Wellington
Fri 11th Sep 2020
Places available
NZD3895
Christchurch
Fri 11th Sep 2020
Places available
NZD4295
Hamilton City
Fri 11th Sep 2020
Places available
NZD4295
Auckland
Fri 11th Sep 2020
Places available
NZD3895
Fri 18th Sep 2020
Places available
Was: NZD3395
Now: NZD1529
Fri 23rd Oct 2020
Places available
Was: NZD3395
Now: NZD1529
Christchurch
Fri 20th Nov 2020
Places available
NZD4295
Hamilton City
Fri 20th Nov 2020
Places available
NZD4295
Auckland
Fri 20th Nov 2020
Places available
NZD3895
Wellington
Fri 20th Nov 2020
Places available
NZD3895
Fri 20th Nov 2020
Places available
Was: NZD3395
Now: NZD1529
Fri 11th Dec 2020
Places available
Was: NZD3395
Now: NZD1529

Complete the steps below to receive a quote or more information

How will you be funding your training?

Self funding

Company funding

Not sure

Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry, they’re are first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

  Enquire for daily discount code 375  Remaining (Live Counter)

Key points about this course


Duration: 1 Days*

Support: 24/7


Course Information

Recommendation System Training​ Course Overview

A Recommendation system is an extensive class of web applications comprising predicting the user responses to the options. It is a data filtering tool that analyses historical data for predicting what users will be interested in and create accurate recommendations. This system is mostly used in social media, e-commerce platforms, and content-based services. This Recommendation System Training is designed to equip delegates with a knowledge of all the fundamental techniques in the recommender system.

In this Recommendation System Training, delegates will learn about basic concepts of recommendation systems. Delegates will get an understanding of model-based and preprocessing-based approaches. In addition, delegates will learn how to interact with constraint and case-based recommenders.

During this 1-day training, delegates will gain extensive knowledge of hybrid recommendation approaches. This course will introduce delegates to explanations in constraint, case, and collaborative based recommenders. Post completion of this course, delegates will be able to evaluate recommender systems.

Recommendation System Training Course Outline

Introduction to Recommender Systems

  • What is Recommender System?
  • Goals of Recommender System
  • Basic Models of Recommender System
  • Domain-Specific Challenges

Collaborative Recommendation

  • User and Item Based Neighbor Recommendation
  • Model-Based and Preprocessing-Based Approaches
  • Practical Approaches and Systems

Knowledge-Based Recommendation

  • Knowledge Representation and Reasoning
  • Interacting with Constraint-Based Recommenders
  • Interacting with Case-Based Recommenders

Hybrid Recommendation Approaches

  • Opportunities for Hybridisation
  • Monolithic Hybridisation Design
  • Parallelised Hybridisation Design
  • Pipelined Hybridisation Design

Recommender Systems Explanations

  • Constraint-Based Recommenders
  • Case-Based Recommenders
  • Collaborative Filtering Recommenders

Evaluating Recommender Systems

  • Properties of Evaluation Research
  • Popular Evaluation Designs
  • Evaluation of Historical Datasets
  • Alternate Evaluation Designs

Prerequisites

There are no prerequisites to attend this course.

Audience

Anyone wishes to have a comprehensive knowledge of Recommendation system can attend this course. This course is well-suited for:

  • Machine Learning Engineers
  • Data engineers and Scientists
  • Data Analysts
Please arrive at the venue at 8:45am.
There are no prerequisites to attend this course.
Anyone wishes to have a comprehensive knowledge of Recommendation system can attend this course. This course is well-suited for: Machine Learning Engineers, Data engineers and Scientists, Data Analysts.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Recommendation System Training certification in New Zealand starts from NZD1699
The Knowledge Academy is the Leading global training provider in the world for Recommendation System Training.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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Shell Logo

"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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