Download Ebook Practical Recommender Systems

Download Ebook Practical Recommender Systems

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Practical Recommender Systems

Download Ebook Practical Recommender Systems

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Review

"Covers the technical background and demonstrates implementations in clear and concise Python code." -Andrew Collier, Exegetic "Have you wondered how Amazon and Netflix learn your tastes in products and movies, and provide relevant recommendations? This book explains how it's done!"  -Amit Lamba, Tech Overture "Everything about recommender systems, from entry-level to advanced concepts" -Jaromir D.B. Němec, DB                                                            "A great and practical deep dive into recommender systems!"-Peter Hampton, Ulster University

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About the Author

Kim Falk is a Data Scientist at Adform, where he is working on recommender systems. He has experience in providing recommendations for large entertainment companies and working with big data solutions.

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Product details

Paperback: 432 pages

Publisher: Manning Publications; 1 edition (February 2, 2019)

Language: English

ISBN-10: 1617292702

ISBN-13: 978-1617292705

Product Dimensions:

7.5 x 1 x 9.2 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

1 customer review

Amazon Best Sellers Rank:

#316,823 in Books (See Top 100 in Books)

This book is outstanding, it provides enough theory mixed with real-world examples and code to learn what is necessary to build and curate recommender systems. If you are a beginner, the book will help you learn. If you are an old dog, you can learn new tricks.

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