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RE: Machine Learning Make Your Own Recommender System - book24h - 2025-12-30

[Kép: 5ddc161d0157082a5464c0708633a212.webp]
Free Download Machine Learning: Make Your Own Recommender System (Learn Machine Learning for Beginners Book 3)
English | 2024 | ASIN: B07DWS346Y | 184 pages | EPUB (True) | 7.34 MB
Want to code your own recommender system from scratch and learn machine learning theory at the same time?

Recommender systems power the platforms we use every day-Amazon, Netflix, Spotify, and more. But how do they really work? In Machine Learning: Make Your Own Recommender System, Oliver Theobald walks you through one of the most practical and fascinating applications of machine learning: personalized recommendations.
Using Python, real-world datasets, and the beginner-friendly Scikit-learn library, you'll not only learn the theory behind collaborative filtering, content-based filtering, and hybrid approaches, but also implement them yourself-step by step.
What you'll learn:
  • The essential principles behind recommender systems
  • How to set up your Python environment with Jupyter Notebook
  • The difference between user-based and item-based filtering
  • How to apply Singular Value Decomposition (SVD) and Naive Bayes
  • Why recommendation algorithms shape online behavior-and how to build your own
This book is perfect for:
  • Readers of Machine Learning for Absolute Beginners or Oliver's other data science books
  • Beginners looking to learn machine learning in a hands-on way
  • Readers who found the Machine Learning for Dummies book too vague
  • Anyone exploring recommender system design or building portfolio projects


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