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Deep learning

Adaptive computation and machine learning

[2016]

Signatur: TVU9845

Semi-supervised learning

Adaptive computation and machine learning

Chapelle, Olivier[Herausgeber]

Paperback ed, 2010

Signatur: TVU9675

Real world machine learning

Signatur: TVU10005

Introduction to machine learning

Adaptive computation and machine learning

Alpaydın, Ethem

2004

Signatur: TVU8946

Introduction to machine learning

Adaptive computation and machine learning

Alpaydın, Ethem

3. ed, 2014

Signatur: TVU8946(3)

Computational learning theory and natural learning systems

A Bradford book

Hanson, Stephen J[Herausgeber]

Signatur: TVU5338-...

Reinforcement learning : an introduction

Adaptive computation and machine learning

Second edition, [2018]

Signatur: TVU7487(2)

Deep learning for dummies

... for dummies, Learning made easy

[2019]

Signatur: TVU10217

Computational learning theory and natural learning systems. 3. Selecting good models

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1995

Signatur: TVU5338-3

Computational learning theory and natural learning systems. 1. Constraints and prospects

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1994

Signatur: TVU5338-1

Grundkurs machine learning

Rheinwerk Computing, Informatik verstehen, Künstliche Intelligenz

1. Auflage, 2020

Signatur: TVU10380

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Atienza, Rowel

October 2018

Signatur: TVU10110

Learning systems

Aved'Yan, Eduard

1995

Signatur: TVU5574

Lazy learning

Aha, David W[Herausgeber]

1997

Signatur: TVU7966

Learning kernel classifiers : theory and algorithms

Adaptive computation and machine learning

Herbrich, Ralf

2002

Signatur: TVU8239

Machine learning : a probabilistic perspective

Adaptive computation and machine learning series

Murphy, Kevin P

[2012]

Signatur: TVU9667

Machine Learning für Softwareentwickler : von der Python-Codezeile zur Deep-Learning-Anwendung

Perrotta, Paolo

1. Auflage, 2020

Signatur: TVU10518

Computational learning theory and natural learning systems. 2. Intersections between theory and experiment

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1994

Signatur: TVU5338-2

Reinforcement learning : an introduction

Adaptive computation and machine learning, A Bradford book

1998

Signatur: TVU7487

Grokking deep learning

Trask, Andrew W

[2019]

Signatur: TVU10186

Learn TensorFlow 2.0 : Implement Machine Learning and Deep Learning Models with Python

[2020]

Signatur: TVU10788

Mathematical intelligent learning environments

Nwana, Hyacinth S[Herausgeber]

1993

Signatur: TVU4845

Introduction to machine learning

Kodratoff, Yves

1988

Signatur: TVU1643

Machine learning for hackers

2012

Signatur: TVU9617

Deep Learning with R

Ghatak, Abhijit

[2019]

Signatur: TVU10770

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Deep learning

Semi-supervised learning

Real world machine learning

Introduction to machine learning

Introduction to machine learning

Computational learning theory and natural learning systems

Reinforcement learning : an introduction

Deep learning for dummies

Computational learning theory and natural learning systems. 3. Selecting good models

Computational learning theory and natural learning systems. 1. Constraints and prospects

Grundkurs machine learning

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Learning systems

Lazy learning

Learning kernel classifiers : theory and algorithms

Machine learning : a probabilistic perspective

Machine Learning für Softwareentwickler : von der Python-Codezeile zur Deep-Learning-Anwendung

Computational learning theory and natural learning systems. 2. Intersections between theory and experiment

Reinforcement learning : an introduction

Grokking deep learning

Learn TensorFlow 2.0 : Implement Machine Learning and Deep Learning Models with Python

Mathematical intelligent learning environments

Introduction to machine learning

Machine learning for hackers

Deep Learning with R

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