Recommender Systems: MovieLens Dataset

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Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Covers collaborative filtering and content-based methods for recommender systems, addressing cold start problems and making predictions.

Covers advanced numerical analysis topics including deep neural networks and optimization methods.

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