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Foundational issues in artificial intelligence and cognitive science : impasse and solution

Advances in psychology : 109 (Alle Bände)

1995

Signatur: HRH4953

A short introduction to preferences : between artificial intelligence and social choice

Synthesis lectures on artificial intelligence and machine learning : 14 (Alle Bände)

2011

Signatur: TVU9918

Computer age statistical inference : algorithms, evidence, and data science

Institute of Mathematical Statistics monographs : 5 (Alle Bände)

2016

Signatur: TVU9950

Neural computing : theory and practice

Wasserman, P. D

1989

Signatur: TVU2047

Decision support systems : putting theory into practice

Sprague, Ralph H[Herausgeber]

1986

Signatur: TVU1287

Artificial intelligence : theory and practice

1995

Signatur: TVU6782

Expert systems : principles and practice

1. [Dr.], 1988

Signatur: TVU1724

Handbook of knowledge representation

Foundations of artificial intelligence

Vanharmelen, Frank[Herausgeber]

1. ed, 2008

Signatur: TVU9421

Mahout in action

Owen, Sean

c2012

Signatur: TVU9544

Studying those who study us : an anthropologist in the world of artificial intelligence

Writing science

2001

Signatur: TVU9625

Deep Learning : foundations and concepts

[2024]

Signatur: TVU10970

Hypermedia-Anwendungsentwicklung : eine Einführung mit HyperCard-Beispielen

Leitfäden der angewandten Informatik

Gloor, Peter A

1990

Signatur: TVU3035

Designing multimedia environments for children

1996

Signatur: TVU5883

Machine learning with R : expert techniques for predictive modeling

Lantz, Brett

Third edition, April 2019

Signatur: TVU10097(3)

Deep learning for coders with fastai and PyTorch : AI applications without a PhD

First edition, July 2020

Signatur: TVU10568

Swarm intelligence

The Morgan Kaufmann series in evolutionary computation

2001

Signatur: TVU8289

Grokking deep learning

Trask, Andrew W

[2019]

Signatur: TVU10186

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python

August 2018

Signatur: TVU10071

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Expert insight

Lapan, Maxim

June 2018

Signatur: TVU10089

Architectural style-based modeling and simulation of middleware for mobile systems

Guo, Ping

2006

Signatur: PQ339

Java data mining : strategy, standard, and practice ; a practical guide for architecture, design, and implementation

The Morgan Kaufmann series in data management systems

2007

Signatur: TVU9201

Introduction to evolvable hardware : a practical guide for designing self-adaptive systems

IEEE Press series on computational intelligence

2007

Signatur: TWH2761

Fairness and machine learning : limitations and opportunities

[2023]

Signatur: TVU10973

Learning deep learning : theory and practice of neural networks, computer vision, natural language processing, and transformers using TensorFlow

Ekman, Magnus

[2022]

Signatur: TVU10966

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Foundational issues in artificial intelligence and cognitive science : impasse and solution

Knowledge graphs

A short introduction to preferences : between artificial intelligence and social choice

Computer age statistical inference : algorithms, evidence, and data science

Neural computing : theory and practice

Decision support systems : putting theory into practice

Artificial intelligence : theory and practice

Expert systems : principles and practice

Handbook of knowledge representation

Mahout in action

Studying those who study us : an anthropologist in the world of artificial intelligence

Deep Learning : foundations and concepts

Hypermedia-Anwendungsentwicklung : eine Einführung mit HyperCard-Beispielen

Designing multimedia environments for children

Machine learning with R : expert techniques for predictive modeling

Deep learning for coders with fastai and PyTorch : AI applications without a PhD

Swarm intelligence

Grokking deep learning

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Architectural style-based modeling and simulation of middleware for mobile systems

Java data mining : strategy, standard, and practice ; a practical guide for architecture, design, and implementation

Introduction to evolvable hardware : a practical guide for designing self-adaptive systems

Fairness and machine learning : limitations and opportunities

Learning deep learning : theory and practice of neural networks, computer vision, natural language processing, and transformers using TensorFlow

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