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Deep learning for search engines

29.99 €
Out of stock
Deep learning for search engines
29.99 €
This book describes how to use deep neural networks to build effective search engines. Several components of a search engine are covered, providing an understanding of how they work and providing guidance on how to use neural networks in different search contexts. Emphasis is placed on a practical explanation of search and deep machine learning techniques based on examples, most of which include code snippets.
The author highlights the main problems related to search engines and points out the ways to solve these problems. He reveals the principles of testing the effectiveness of neural networks and measuring their costs and benefits. The publication is intended for readers with an intermediate level of programming skills who are debugging search engines to improve their efficiency, i.e. to deliver the most relevant results.
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