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Introduction to artificial intelligence and expert systems

By:

Patterson, Dan W

Material type: Text

Text

TextPublication details: Pearson Education, New Delhi: ©2009Description: 448pSubject(s):

Computer Science Engineering

DDC classification:

006.3 PAT

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Holdings ( 11 )
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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Reference Books	GCET LIBRARY MCA	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Not for loan		046724
Books	GCET LIBRARY MCA	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046725
Books	GCET LIBRARY MCA	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046726
Books	GCET LIBRARY MCA	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046727
Books	GCET LIBRARY MCA	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046728
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046729
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046730
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046731
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046732
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.3 PAT (Browse shelf(Opens below))	Available		046733
Books	GCET LIBRARY B.Tech (CSE)	Computer Science Engineering	006.32 PAT (Browse shelf(Opens below))	Available		039707

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Previous	006.32 KUM Neural networks: A classroom approach	006.32 KUM Neural networks: A classroom approach	006.32 KUM Neural Networks: A classroom approach	006.32 PAT Introduction to artificial intelligence and expert systems	006.32 PRA R deep learning cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet	006.32 PRA R deep learning cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet	006.32 PRA R deep learning cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet	Next

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