Certificate in Recommendation Engine Fundamentals
-- ViewingNowThe Certificate in Recommendation Engine Fundamentals is a comprehensive course that equips learners with the essential skills to design and implement recommendation systems. This course emphasizes the importance of data-driven decision-making, providing learners with a solid understanding of the underlying algorithms and techniques used in recommendation engines.
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โข Introduction to Recommendation Engines: Understanding the basics of recommendation engines, their importance, and applications.
โข Data Analysis for Recommendation Engines: Exploring data handling, preprocessing, and feature engineering.
โข Collaborative Filtering: Delving into user-based and item-based collaborative filtering techniques.
โข Content-Based Filtering: Learning about content-based recommendation methods and text analysis.
โข Hybrid Methods: Combining collaborative and content-based filtering for improved recommendations.
โข Dimensionality Reduction: Applying techniques such as Singular Value Decomposition (SVD) and matrix factorization.
โข Evaluation Metrics: Measuring the performance of recommendation engines using appropriate metrics.
โข Implementing Recommendation Engines: Hands-on experience in developing and deploying recommendation systems.
โข Ethical Considerations: Understanding the ethical aspects of recommendation engines, including privacy, fairness, and transparency.
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