"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"--
Abstract:
"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"-- Read more...
Author(s): Wu, Jun
Publisher: CRC Press
Year: 2019
Language: English
Pages: 268
Tags: Computer science -- Mathematics.;Machine learning.;Informatik;Mathematik
Content: 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 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 Chinese input method editors --
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.
