Applied Recommender Systems with Python

Language: English

Published by Apress, Apress Nov 2022, 2022

1484289536 / 9781484289532

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This item is printed on demand - Print on Demand Titel. Neuware -This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today.You'll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as collaborative filtering using matrix factorization and hybrid recommender systems that incorporate both content-based and collaborative filtering techniques. This is followed by a tutorial on building machine learning-based recommender systems using clustering and classification algorithms like K-means and random forest. The last chapters cover NLP, deep learning, and graph-based techniques to build a recommender engine. Each chapter includes data preparation, multiple ways to evaluate and optimize the recommender systems, supporting examples, and illustrations.By the end of this book, you will understand and be able to build recommender systems with various tools and techniques with machine learning, deep learning, and graph-based algorithms.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch.

Seller Inventory # 9781484289532

Title
Applied Recommender Systems with Python
Author
Akshay Kulkarni
Publisher
Apress, Apress Nov 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1484289536
ISBN 13
9781484289532
Item weight
503 grams
Dimensions
254x178x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

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