Machine Learning Make Your Own Recommender System

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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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