Byte-Sized ML Basic Series: Recommendation Systems
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisite
- Audience
- Audience
- Curriculum
Description:
Ever wondered how you get recommendations on your favourite sites. Let' learn about recommendation systems through this short course, how they work and how they are made. Understand the types of recommendation systems and the concept of collaborative filtering.
Course Code/Duration:
BDT181 / 90 minutes.
Learning Objectives:
We will learn the following about recommendation systems:
- Know the Types of recommendation systems.
- Different metrics that are used to measure recommendation systems.
- Content-based recommendation system.
- Content-based vs. item-based collaborative filtering.
- No prior technical knowledge.
- This session is for learners who would like to become familiar with the machine learning process.
- This session is for learners who would like to become familiar with the machine learning process.
Course Outline:
- Introduction to Recommendation Systems.
- Types of Recommendation Systems.
- Collaborative Filtering
- Metrics for Evaluation
- Content-Based Recommendation.
The curriculum is empty
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