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1

Practical Machine Learning : A Beginner's Guide with Ethical Insights

Diwani, Salim A. (Herausgeber)

[Erscheinungsort nicht ermittelbar] : Taylor & Francis ; Chapman and Hall/CRC Press [Imprint], 2025

*eBook*

2

Deep learning for engineers

Arif, Tariq M. (Verfasser)

First edition

Boca Raton ; Abingdon : CRC Press, 2024

*book*

3

Interpretable machine learning : a guide for making black box models explainable

Molnar, Christoph (Verfasser)

Second edition

Munich, Germany : Christoph Molnar, 2022

*eBook*

4

Generative Adversarial Networks for Image Generation

Mao, Xudong (Verfasser)

1st ed. 2021

Singapore : Springer Nature Singapore, 2021

*eBook*

5

Machine learning

Zhou, Zhi-Hua (Verfasser)

Singapore : Springer, [2021]

*eBook*

6

Machine learning fundamentals : a concise introduction

Jiang, Hui (Verfasser)

Cambridge : Cambridge University Press, 2021

*book*

7

Machine learning fundamentals : a concise introduction

Jiang, Hui (Verfasser)

Cambridge : Cambridge University Press, [2021]

*eBook*

8

Probabilistic machine learning : an introduction

Murphy, Kevin P. (Verfasser)

Cambridge : The MIT Press, [2022]

*book*

9

Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning

Riba, Julian (Verfasser)

Freiburg : Universität, 2020

*eBook*

10

A concise introduction to machine learning

Faul, Anita (Verfasser)

Boca Raton, FL : CRC Press, Taylor & Francis Group, 2020

*eBook*

11

A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging

Asgharzadeh, Pouyan (Verfasser)

Freiburg : Universität, 2020

*eBook*

12

Reinforcement learning : an introduction

Sutton, Richard S. (Verfasser)

Second edition

Cambridge, MA : The MIT Press, [2020]

*eBook*

13

Maschinelles Lernen

Alpaydın, Ethem (Verfasser)

2., Auflage

Berlin : De Gruyter, [2019]

*eBook*

14

Adversarial machine learning

Joseph, Anthony D. (Verfasser)

Cambridge : Cambridge University Press, 2019

*eBook*

15

Maschinelles Lernen

Alpaydın, Ethem (Verfasser)

2. Auflage

Berlin ; Boston : De Gruyter Oldenbourg, [2019]

*book*

16

Machine learning in chemistry : data-driven algorithms, learning systems, and predictions

Pyzer-Knapp, Edward O. (Herausgeber)

Washington, DC : American Chemical Society, 2019

*eBook*

17

Mathematics for machine learning

Deisenroth, Marc Peter (Verfasser)

Cambridge : Cambridge University Press, 2020

*eBook*

18

Mathematics for machine learning

Deisenroth, Marc Peter (Verfasser)

Cambridge : Cambridge University Press, 2020

*book*

19

Reinforcement learning : an introduction

Sutton, Richard S. (Verfasser)

Second edition

Cambridge, MA : The MIT Press, [2018]

*book*

20

Algorithmic aspects of machine learning

Moitra, Ankur (Verfasser)

Cambridge : Cambridge University Press, 2018

*eBook*

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