Скачать или смотреть Matrix Factorization in Recommender Systems (w/ caps)

📚 RECOMMENDED BOOKS TO START WITH MACHINE LEARNING
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If you're new to ML, here are the 3 best books I recommend (I've personally read all of these):
1. Hands-On Machine Learning – the go-to practical ML guide: https://amzn.to/3UcGqSS
2. Mathematics for Machine Learning – deep dive into the theoretical aspects of ML: https://amzn.to/3IZgHe7
3. Designing Machine Learning Systems - practical strategies for building scalable ML solutions: https://amzn.to/4ojEqFX

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Summary
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In this video, we explore the intuition behind matrix factorization in collaborative filtering for recommender systems. Learn how user-item interactions are modeled using latent vectors, and how methods like SVD and SGD help predict user preferences — all without diving into the full math and implementation details.

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