Machine Learning: Make Your Own Recommender System - Brossura
Libro 3 di 3: Learn Machine Learning for Beginners
Sinossi
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
If you've always wanted to understand the real mechanics behind what “You might also like…” really means, this is the book for you! No PhD required—just curiosity, a computer, and the willingness to learn by doing!
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Machine Learning: Make Your Own Recommender System (Learn Machine Learning for Beginners)
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Independently published, 2018
ISBN 10: 1726769038
ISBN 13: 9781726769037
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Machine Learning: Make Your Own Recommender System (Learn Machine Learning with Python Books for Beginners)
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Machine Learning: Make Your Own Recommender System
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ISBN 10: 1726769038
ISBN 13: 9781726769037
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Machine Learning (Paperback)
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Paperback. Condizione: new. Paperback. 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 ownThis 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 projectsIf you've always wanted to understand the real mechanics behind what "You might also like." really means, this is the book for you! No PhD required-just curiosity, a computer, and the willingness to learn by doing! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781726769037
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Machine Learning: Make Your Own Recommender System
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Independently Published, 2018
ISBN 10: 1726769038
ISBN 13: 9781726769037
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Machine Learning: Make Your Own Recommender System
Editore:
Independently published, 2018
ISBN 10: 1726769038
ISBN 13: 9781726769037
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 34535967
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