Executive Development Programme in Real-World Applications of Collaborative Filtering

This course targets professionals seeking to enhance their skills in data-driven decision-making. Participants will gain hands-on experience in implementing collaborative filtering algorithms. You will understand and apply the latest techniques in recommendation systems.

First, you will learn the core concepts of collaborative filtering. Next, you will dive into real-world applications, like movie recommendations and personalized marketing. Finally, you will work on practical exercises and projects to solidify your understanding. By the end of this program, you will confidently leverage collaborative filtering to drive business outcomes and make informed decisions.

1. Introduction to Collaborative Filtering: This module provides an overview of collaborative filtering and its importance in real-world applications.
2. Data Collection and Preprocessing: Learn techniques for gathering and preparing data for collaborative filtering algorithms.
3. Traditional Collaborative Filtering Algorithms: Explore classic collaborative filtering methods, including user-user and item-item approaches.
4. Advanced Collaborative Filtering Techniques: Delve into modern techniques such as matrix factorization and neural collaborative filtering.
5. Evaluation and Metrics: Understand how to evaluate the performance of collaborative filtering systems using various metrics.
6. Real-World Applications and Case Studies: Examine practical applications and case studies of collaborative filtering in industries like e-commerce and entertainment.