Mathematics & AI Books

A curated library of books on mathematics for AI, machine learning, computation, research, and education.

60 books available Curated reading list
1996
AI Theory & Applications

Mathematical methods in artificial intelligence

Edward A. Bender

A carefully selected reference by Edward A. Bender connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1995
AI Theory & Applications

Integrating symbolic mathematical computation and artificial intelligence

AISMC-2 (1994 Cambridge, England)

A carefully selected reference by AISMC-2 (1994 Cambridge, England) connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1995
Statistics & Optimization

Mathematical models for handling partial knowledge in artificial intelligence

Giulianella Coletti

A carefully selected reference by Giulianella Coletti connecting statistics & optimization with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1995
AI Theory & Applications

Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence

Rudolf Kruse

A carefully selected reference by Rudolf Kruse connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1994
AI Theory & Applications

Applications of artificial intelligence in engineering IX

International Conference on the Applications of Artificial Intelligence in Engineering (9th 1994 Penn State Great Valley University)

A carefully selected reference by International Conference on the Applications of Artificial Intelligence in Engineering (9th 1994 Penn State Great Valley University) connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1994
Math Education

Artificial Intelligence

Stuart J. Russell

A carefully selected reference by Stuart J. Russell connecting math education with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1994
AI Theory & Applications

Artificial intelligence in mathematics

J. H. Johnson

A carefully selected reference by J. H. Johnson connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1994
Statistics & Optimization

Selecting Models from Data

P. Cheeseman

A carefully selected reference by P. Cheeseman connecting statistics & optimization with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1993
AI Theory & Applications

Artificial intelligence and symbolic mathematical computing

Jacques Calmet

A carefully selected reference by Jacques Calmet connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1993
AI Theory & Applications

Artificial intelligence in medicine

Conference on Artificial Intelligence in Medicine Europe (4th 1993 Munich, Germany)

A carefully selected reference by Conference on Artificial Intelligence in Medicine Europe (4th 1993 Munich, Germany) connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1993
AI Theory & Applications

Handbook of logic in artificial intelligence and logic programming

Dov M. Gabbay

A carefully selected reference by Dov M. Gabbay connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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1993
AI Theory & Applications

Probably Approximately Correct Learnability Theory (The Stanford Computer Science Video Journal

David Haussler

A carefully selected reference by David Haussler connecting ai theory & applications with mathematical ideas, methods, or applications. The book is included for readers building a serious foundation in mathematics and AI.

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