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Book details
File Size: 3.54 MB
Format: pdf
Print Length: 284 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 1 edition (November 20, 2018)
Publication Date: November 20, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07KRNYC7R
The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services. The book was published in Chinese in 2011 and has sold more than 600,000 copies. Readers were surprised to find that many daily-used IT technologies were so tightly tied to mathematical principles. For example, the automatic classification of news articles uses the cosine law taught in high school.
The book covers many topics related to computer applications and applied mathematics.
Table of Contents
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- designer, Dr Amit Singhal
Cosines and news classification
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
Book details
File Size: 3.54 MB
Format: pdf
Print Length: 284 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 1 edition (November 20, 2018)
Publication Date: November 20, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07KRNYC7R
The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services. The book was published in Chinese in 2011 and has sold more than 600,000 copies. Readers were surprised to find that many daily-used IT technologies were so tightly tied to mathematical principles. For example, the automatic classification of news articles uses the cosine law taught in high school.
The book covers many topics related to computer applications and applied mathematics.
Table of Contents
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- designer, Dr Amit Singhal
Cosines and news classification
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
