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The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and computer vision. [7]
Entry "Cinderella book". In: The Jargon file (version 4.4.7, December 29, 2003). Hopcroft, John E. (1989). "The emergence of computer science - A citation classic commentary on 'Formal Languages and Their Relation to Automata' ". Current Contents Engineering, Technology, and Applied Sciences. 31: 12. available online (pdf) Shallit, Jeffrey O ...
The Grammar of Science is a book by Karl Pearson first published in hardback in 1892. In 1900, the second edition, published by Adam & Charles Black, appeared. The third, revised, edition was also published by Adam & Charles Black in 1911. It was recommended by Einstein to his friends of the Olympia Academy. Several themes were covered in this ...
This first edition of the book was also known as "The Big White Book (of Algorithms)." With the second edition, the predominant color of the cover changed to green, causing the nickname to be shortened to just "The Big Book (of Algorithms)." [8] The third edition was published in August 2009. The fourth edition was published in April 2022 ...
SICP has been influential in computer science education, and several later books have been inspired by its style. Structure and Interpretation of Classical Mechanics (SICM), another book that uses Scheme as an instructional element, by Gerald Jay Sussman and Jack Wisdom; Software Design for Flexibility, by Chris Hanson and Gerald Jay Sussman
Code: The Hidden Language of Computer Hardware and Software; Compilers: Principles, Techniques, and Tools; Computer Graphics: Principles and Practice; Computers and Intractability; Concepts, Techniques, and Models of Computer Programming; Concrete Mathematics
Compilers: Principles, Techniques, and Tools [1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2]
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
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