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Recommendation Systems Fundamentals
Learn Recommendation Systems by building real things, step by step
By Pooja Desai
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Intermediate
English
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What you'll learn
- Understand the core concepts of Recommendation Systems and how they fit together
- Build hands-on projects using Recommendation Systems that you can add to your portfolio
- Apply Recommendation Systems to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Recommendation Systems mistakes
- Gain the confidence to use Recommendation Systems at work and in interviews
Skills you'll gain
Recommendation Systems
Practical Projects
Debugging
Best Practices
Problem Solving
Machine Learning
About this course
Recommendation Systems is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Machine Learning, you'll build real understanding rather than memorising steps. Created by Pooja Desai, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Recommendation Systems to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 16:00 ▶ Free preview
- Recommendation Systems in 10 minutes video · 17:00 ▶ Free preview
- Your first Recommendation Systems walkthrough video · 06:00
- Hands-on exercise video · 07:00
Core Concepts
- Common patterns in practice video · 11:00
- Building the project — part 1 video · 12:00
- Debugging and troubleshooting video · 13:00
- Performance and optimisation video · 14:00
- Testing your work video · 15:00
Hands-On Practice
- Performance and optimisation video · 06:00
- Testing your work video · 07:00
- Welcome and what you'll build video · 08:00
Building Real Projects
- Welcome and what you'll build video · 13:00
- Recommendation Systems in 10 minutes video · 14:00
- Your first Recommendation Systems walkthrough video · 15:00
- Hands-on exercise video · 16:00
Going Deeper
- Common patterns in practice video · 08:00
- Building the project — part 1 video · 09:00
- Debugging and troubleshooting video · 10:00
- Performance and optimisation video · 11:00
- Testing your work video · 12:00