Course information

Recommendation System Training Course Outline

Module 1: Introduction to Recommender Systems

  • What is Recommender System?
  • Types of Recommender Systems
  • How Recommender System Works?
  • Challenges of Recommender System

Module 2: Collaborative Recommendation Approaches

  • Memory Based Approaches
  • Model-Based Approach
  • Python Implementation

Module 3: Content Based Recommendation

  • What is Content-Based Recommendation System?
  • User Profile
  • Item Profile
  • Utility Matrix

Module 4: Hybrid Recommendation

  • Hybridisation Recommendation System
  • Monolithic Hybridisation Design
  • Parallelised Hybridisation Design
  • Pipeline Hybridisation Design

Module 5: Evaluating Recommender Systems

  • Evaluation Methods
    • Experimental (Online Experiments)
    • Non-Experimental (Offline Experiments)
    • Simulation Experiments
  • Common Metrices

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Who should attend this Recommendation System Training Course?

The Recommendation System Course is a specialised course that focuses on training professionals and enthusiasts in designing, implementing, and optimising Recommendation Systems. The following professionals will benefit greatly from this course:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Business Analysts
  • Product Managers
  • UI/UX Designers
  • Chief Data Officers

Prerequisites of the Recommendation System Training Course

There are no formal prerequisites for this Recommendation System Course. 

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.

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What’s included in this Recommendation System Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Recommendation System Certificate 
  • Digital Delegate Pack

Why choose us

Our Salt Lake City venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Salt Lake City is situated in the Wasatch Front within the north-central part of Utah, as well as it being the capital city of Utah is also one of two major urban areas within the Great Basins. SLC or Salt Lake as the city is otherwise known is the most populated city with Utah as it is home to an estimated 1,153,340 people as of 2014 as well as having a metropolitan population of around 2,423,912 people. Salt Lake City has 23 elementary, 5 middle and 3 high schools as well as a charter school. In 1847 the first classes for children within the Mormon families was held in a tent and now today salt city lake includes a number of catholic schools which include Rowland Hall-St. Mark's School which is Salt Lake City’s premier independent school and Judge Memorial Catholic High School. Some of the universities and colleges within Salt Lake City includes the LDS Business College, Westminster College, University of Utah, The Art Institute of Salt Lake City and the Salt Lake Community College. The University of Utah is renowned for the medical and research programs they run as well as holding the first artificial heart transplant within 1982 and it also worked alongside three other universities with ARPANET in 1969 where pioneer Ivan Sutherland had moved within the Computer Science department.

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Address

285 West Broadway
Salt Lake City
Utah
84101

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Recommendation System Training in Salt Lake City. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Recommendation System Training in Salt Lake City, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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What our customers are saying

Recommendation System Training in Salt Lake City FAQs

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The training fees for certification in Salt Lake City starts from $2495
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Flexible delivery methods are available depending on your learning style.

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High quality 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"

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