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Deep Learning for Search
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Price: $34.99
(as of Dec 24,2024 14:20:53 UTC – Details)
ASIN : B09781YG62
Publisher : Manning; 1st edition (June 2, 2019)
Publication date : June 2, 2019
Language : English
File size : 7545 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 328 pages
In today’s digital age, search engines play a crucial role in helping us find the information we need quickly and efficiently. Deep learning, a subset of artificial intelligence, has revolutionized the way search engines operate by enabling them to understand and interpret complex data in a more human-like manner.
Deep learning algorithms can analyze vast amounts of data, including text, images, and videos, to provide more relevant and personalized search results. By utilizing deep learning techniques, search engines can not only understand the context and intent behind a user’s query but also anticipate their needs and preferences.
Furthermore, deep learning allows search engines to continuously learn and improve over time, making them more accurate and efficient in delivering the most relevant results to users. This adaptive nature of deep learning algorithms ensures that search engines stay up-to-date with the latest trends and changes in the digital landscape.
Overall, deep learning has significantly enhanced the search experience for users by making it more intuitive, personalized, and efficient. As technology continues to evolve, we can expect even more advancements in deep learning for search, further improving the way we access and consume information online.
#Deep #Learning #Search
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