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Books on the topic 'Automated Machine Learning (AutoML)'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Hutter, Frank, Lars Kotthoff, and Joaquin Vanschoren, eds. Automated Machine Learning. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05318-5.

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Maurice, Sebastian. Transactional Machine Learning with Data Streams and AutoML. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7023-3.

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3

Hutter, Frank. Automated Machine Learning: Methods, Systems, Challenges. Springer Nature, 2019.

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4

Zhu, Wenwu, and Xin Wang. Automated Machine Learning and Meta-Learning for Multimedia. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88132-0.

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5

Pillay, Nelishia, and Rong Qu, eds. Automated Design of Machine Learning and Search Algorithms. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72069-8.

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6

Pesch, Erwin. Learning in automated manufacturing: A local search approach. Physica-Verlag, 1994.

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7

Knoblock, Craig A. Generating abstraction hierarchies: An automated approach to reducing search in planning. Kluwer Academic Publisher, 1993.

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8

Pham, Thuy T. Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98675-3.

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9

Sutton, Richard S. Reinforcement learning: An introduction. MIT Press, 1998.

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10

Suzuki, Kenji. Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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11

Wang, Fei. Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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12

R. Larsen, Kai, and Daniel S. Becker. Automated Machine Learning for Business. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190941659.001.0001.

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In Automated Machine Learning for Business, we teach the machine learning process using a new development in data science: automated machine learning. AutoML, when implemented properly, makes machine learning accessible to most people because it removes the need for years of experience in the most arcane aspects of data science, such as the math, statistics, and computer science skills required to become a top contender in traditional machine learning. Anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management an

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13

Cakmak, Umit Mert, and Sibanjan Das. Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python. Packt Publishing, 2018.

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14

Sawyers, Dennis Michael. Automated Machine Learning with Microsoft Azure: Build Highly Accurate and Scalable End-To-end AI Solutions with Azure AutoML. Packt Publishing, Limited, 2021.

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15

Automated Machine Learning with Microsoft Azure: Build Highly Accurate and Scalable End-To-end AI Solutions with Azure AutoML. de Gruyter GmbH, Walter, 2021.

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16

Automated Machine Learning for Business. Oxford University Press, Incorporated, 2021.

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17

Larsen, Kai R. Automated Machine Learning for Business. Pearson Education, Limited, 2020.

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18

Larsen, Kai R., and Daniel S. Becker. Automated Machine Learning for Business. Oxford University Press, Incorporated, 2021.

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19

Automated Machine Learning in Action. Manning Publications Co. LLC, 2022.

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20

Shri, M. Lawanya, and E. Gangadevi. Automated Machine Learning and Industrial Applications. Wiley & Sons, Incorporated, John, 2024.

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21

Shri, M. Lawanya, and E. Gangadevi. Automated Machine Learning and Industrial Applications. Wiley & Sons, Incorporated, John, 2024.

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22

Hutter, Frank, Lars Kotthoff, and Joaquin Vanschoren. Automated Machine Learning: Methods, Systems, Challenges. Springer, 2019.

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23

Shri, M. Lawanya, and E. Gangadevi. Automated Machine Learning and Industrial Applications. Wiley & Sons, Incorporated, John, 2024.

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24

Wang, Xin, and Wenwu Zhu. Automated Machine Learning and Meta-Learning for Multimedia. Springer International Publishing AG, 2022.

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25

Wang, Xin, and Wenwu Zhu. Automated Machine Learning and Meta-Learning for Multimedia. Springer International Publishing AG, 2021.

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26

Maurice, Sebastian. Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka Using Python. Apress L. P., 2021.

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27

Pillay, Nelishia, and Rong Qu. Automated Design of Machine Learning and Search Algorithms. Springer International Publishing AG, 2021.

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28

Pillay, Nelishia, and Rong Qu. Automated Design of Machine Learning and Search Algorithms. Springer International Publishing AG, 2022.

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29

Beaumont, Greg. Machine Learning with Microsoft Power BI: A Guide to Leveraging AI Features and Visuals, AutoML, and Machine Learning Connectivity in Power BI. Packt Publishing, Limited, 2023.

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30

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions. O'Reilly Media, Incorporated, 2019.

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31

Soares, Carlos, Joaquin Vanschoren, Pavel Brazdil, and Jan N. van Rijn. Metalearning: Applications to Automated Machine Learning and Data Mining. Springer International Publishing AG, 2021.

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32

Ajgaonkar, Salil. Practical Automated Machine Learning Using H2O. ai: Discover the Power of Automated Machine Learning, from Experimentation Through to Deployment to Production. Packt Publishing, Limited, 2022.

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33

Practical Automated Machine Learning Using H2O. ai: Discover the Power of Automated Machine Learning, from Experimentation Through to Deployment to Production. de Gruyter GmbH, Walter, 2022.

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34

Holden, Sean B. Machine Learning for Automated Theorem Proving: Learning to Solve SAT and QSAT. Now Publishers, 2021.

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35

Radečić, Dario. Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python. Packt Publishing, 2021.

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36

Dario Radečić. Machine Learning Automation with TPOT: Build, Validate, and Deploy Fully Automated Machine Learning Models with Python. de Gruyter GmbH, Walter, 2021.

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37

Bonet, Blai, and Hector Geffner. Concise Introduction to Models and Methods for Automated Planning. Morgan & Claypool Publishers, 2013.

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38

Bonet, Blai, and Hector Geffner. Concise Introduction to Models and Methods for Automated Planning. Morgan & Claypool Publishers, 2013.

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39

Nagler, Dylan J. SCHUBOT: Machine learning tools for the automated analysis of Schubert's Lieder. 2014.

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40

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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41

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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42

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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43

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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44

Potgieter, Trenton, and Jonathan Dahlberg. Automated Machine Learning on AWS: Fast-Track the Development of Your Production-ready Machine Learning Applications the AWS Way. Packt Publishing, Limited, 2022.

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45

Automated Machine Learning on AWS: Fast-Track the Development of Your Production-ready Machine Learning Applications the AWS Way. de Gruyter GmbH, Walter, 2022.

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46

Pham, Thuy T. Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings. Springer, 2019.

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47

Pham, Thuy T. Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings. Springer, 2018.

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48

Automated Machine Learning with AutoKeras: Deep Learning Made Accessible for Everyone with Just Few Lines of Coding. de Gruyter GmbH, Walter, 2021.

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49

Sobrecueva, Luis. Automated Machine Learning with AutoKeras: Deep learning made accessible for everyone with just few lines of coding. Packt Publishing, 2021.

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50

Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms. Packt Publishing, 2021.

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