Masterclass Certificate in Recommendation System Design

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The Masterclass Certificate in Recommendation System Design is a comprehensive course that equips learners with the essential skills needed to design and implement recommendation systems in today's data-driven world. Recommendation systems are a critical component of many modern applications, from e-commerce to social media, and there is a high demand for professionals who understand how to design and build them.

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This course covers the fundamental concepts, algorithms, and techniques used in recommendation system design, including collaborative filtering, content-based filtering, and hybrid approaches. Learners will also gain hands-on experience with popular recommendation system frameworks and tools, such as TensorFlow Recommenders and Surprise. By completing this course, learners will be able to demonstrate their expertise in recommendation system design, a highly sought-after skill in many industries. This course is an excellent opportunity for professionals looking to advance their careers, expand their skillset, and stay competitive in the rapidly evolving field of data science.

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โ€ข Unit 1: Introduction to Recommendation Systems

โ€ข Unit 2: Types of Recommendation Systems (Collaborative Filtering, Content-Based, Hybrid)

โ€ข Unit 3: Data Mining and Machine Learning Techniques for Recommendation Systems

โ€ข Unit 4: Implementing Collaborative Filtering (User-User & Item-Item)

โ€ข Unit 5: Building Content-Based Recommendation Systems

โ€ข Unit 6: Designing Hybrid Recommendation Systems

โ€ข Unit 7: Evaluation Metrics for Recommendation Systems (Precision, Recall, F1 Score, etc.)

โ€ข Unit 8: Improving Recommendation System Performance (Optimization Techniques)

โ€ข Unit 9: Real-World Challenges and Best Practices in Recommendation System Design

โ€ข Unit 10: Ethics and Bias in Recommendation Systems

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MASTERCLASS CERTIFICATE IN RECOMMENDATION SYSTEM DESIGN
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London School of International Business (LSIB)
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05 May 2025
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