00000cam a22000003i 4500 UP-1685594773862485947 Buklod 20230816142255.0 m | | ta 230816s2019 flua rb |001 0|eng d 9781138049604 (Paperback) (iLib)UPBAG-00047211480 BC-73379 SERV Enterprises Php2,902.00 Department of Mathematics and Computer Science DLC BAG rda eng QA 76.9 M35 W85 2019 Wu, Jun 1967- author. The beauty of mathematics in computer science Jun Wu ; translated from the Chinese edition by Rachel Wu and Yuxi Candice Wang. Boca Raton, FL Routledge, an imprint of the Taylor & Francis Group [2019] xv, 268 pages illustrations 24 cm text rdacontent unmediated rdamedia volume rdacarrier "A Chapman & Hall book" Includes bibliographical references and index. Words and languages, numbers and information -- Natural language processing : from rules to statistics -- Statistical language model -- Word segmentation -- Hidden Markov model -- Quantifying information -- Jelinek and modern language processing -- Boolean algebra and search engines -- Graph theory and web crawlers -- PageRank : Google's democratic ranking technology -- Relevance in web search -- Finite state machines and dynamic programming : navigation in Google maps -- Google's AK-47 designer, Dr. Amit Singhal -- Cosines and news classication -- Solving classification problems in text processing with matrices -- Information fingerprinting and its application -- Thoughts inspired by the Chinese TV series Plot : the mathematical principles of cryptography -- Not all that glitters is gold : search engine's anti-SPAM problem and search result authoritativeness question -- Discussion on the importance of mathematical models -- Don't put all your eggs in one basket : the principle of maximum entropy -- Mathematical principles of pinyin input method -- Bloom filters -- Bayesian network : extension of Markov Chain -- Conditional random fields, syntactic parsing, and more -- Andrew Viterbi and the Viterbi Algorithm -- God's algorithm : The expectation maximization algorithm -- Logistic regression and web search advertisement -- Google Brain and artificial neural networks -- The power of big data. "A series of essays introducing the applications of machine learning and statistics in natural language processing, speech recognition and web search for non-technical readers."--Provided by publisher Computer science Mathematics. Machine learning. FO UPBAG UPBAG-MAIN QA 76.9 M35 W85 2019 Book