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Deep learning

Adaptive computation and machine learning

[2016]

Signatur: TVU9845

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)

Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow

Expert insight

Second edition, September 2017

Signatur: TXP8672(2)

Computational learning theory and natural learning systems

A Bradford book

Hanson, Stephen J[Herausgeber]

Signatur: TVU5338-...

Gaussian processes for machine learning

Adaptive computation and machine learning

2006

Signatur: TKE5106

Reinforcement learning : an introduction

Adaptive computation and machine learning

Second edition, [2018]

Signatur: TVU7487(2)

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

Elements of machine learning

The Morgan Kaufmann series in machine learning

Langley, Pat

1996

Signatur: HRG4916

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

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

Machine learning with Python cookbook : practical solutions from preprocessing to deep learning

Second edition, July 2023

Signatur: TXP9002(2)

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

Perrotta, Paolo

1. Auflage, 2020

Signatur: TVU10518

Special issue on algorithmic learning theory

New generation computing : 15,1 (Alle Bände)

Arikawa, Setsuo[Herausgeber]

1997

Signatur: 64n5

Practical machine learning for computer vision : end-to-end machine learning for images

First edition, second release, 2021-10-01

Signatur: TVV19572

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

[2020]

Signatur: TVU10788

Machine Learning für Zeitreihen : Einstieg in Regressions-, ARIMA- und Deep Learning-Verfahren mit Python

Hirschle, Jochen

[2021]

Signatur: TLQ3433

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

Machine learning for text

Aggarwal, Charu C

[2018]

Signatur: TVU10021

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Deep learning

Introduction to machine learning

Introduction to machine learning

Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow

Computational learning theory and natural learning systems

Gaussian processes for machine learning

Reinforcement learning : an introduction

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

Elements of machine learning

Learning kernel classifiers : theory and algorithms

Machine learning : a probabilistic perspective

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

Reinforcement learning : an introduction

Machine learning with Python cookbook : practical solutions from preprocessing to deep learning

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

Special issue on algorithmic learning theory

Practical machine learning for computer vision : end-to-end machine learning for images

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

Machine Learning für Zeitreihen : Einstieg in Regressions-, ARIMA- und Deep Learning-Verfahren mit Python

Mathematical intelligent learning environments

Introduction to machine learning

Machine learning for hackers

Machine learning for text

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