How to Build a Recommendation System from Scratch

Why Choose This Book?

Unlock the power of personalized recommendations! This practical guide, "How to Build a Recommendation System from Scratch," takes you from fundamental concepts to building a working system. Learn core algorithms like collaborative filtering and content-based filtering, alongside essential techniques for evaluation and optimization. You'll gain hands-on experience using Python and real-world datasets. The included audio bundle makes learning on-the-go even easier! No prior machine learning expertise is required.

Who This Book Is For

• Aspiring data scientists and machine learning engineers
• Software developers looking to add recommendation capabilities to their applications
• Anyone interested in understanding the principles behind recommendation systems (e.g., Netflix, Amazon)
• Students learning about recommendation systems and data science.

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