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 tailored for individuals working in the data science and analytics field to help them understand and implement recommendation algorithms effectively. The following are some professionals for whom this course can be beneficial:

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

Prerequisites of the Recommendation System Training Course

There are no formal prerequisites for this Recommendation System Course.

Recommendation System Training Course Overview

Recommendation systems are integral to many online platforms, providing personalised suggestions to users and enhancing their experience. By analysing user data and behaviour, recommendation systems help businesses increase engagement and drive sales through tailored content delivery.

Proficiency in building and optimising recommendation systems is crucial for Data Scientists, Machine Learning Engineers, and other professionals involved in data analysis and product development. Mastering recommendation algorithms and techniques enables these professionals to create systems that understand user preferences, predict user behaviour, and provide relevant recommendations.

This intensive 1-day course equips delegates with fundamental concepts and practical skills in developing recommendation systems. Through hands-on workshops and expert-led sessions, delegates gain a comprehensive understanding of collaborative filtering, content-based filtering, and hybrid recommendation approaches. Delegates learn to implement recommendation algorithms, evaluate their performance, and optimise them for diverse real-world applications.

Course Objectives

  • To understand the foundational principles of recommendation systems and their importance
  • To explore various recommendation techniques, including collaborative filtering and content-based filtering
  • To apply machine learning algorithms in developing recommendation systems
  • To analyse and interpret recommendation system outputs for improved user experience
  • To optimise recommendation algorithms for better accuracy and performance
  • To comprehend ethical considerations in deploying recommendation systems

Upon completing this course, delegates will have acquired the knowledge and skills necessary to implement and optimise recommendation systems, making them invaluable assets in their professional fields.

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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 Mississauga 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.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Recommendation System Training in Mississauga. 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 Mississauga, 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 Mississauga FAQs

Please arrive at the venue at 8:45am.
The training fees for Recommendation System Trainingin Mississauga starts from CAD3395
The Knowledge Academy is the Leading global training provider for Recommendation System Training.
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Flexible delivery methods are available depending on your learning style.

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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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