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Books on the topic 'Regression based machine learning'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Diveev, Askhat, and Elizaveta Shmalko. Machine Learning Control by Symbolic Regression. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83213-1.

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2

Keith, Michael. Machine Learning with Regression in Python. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6583-3.

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3

Kolodner, Janet L. Case-Based Learning. Springer US, 1993.

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4

Liu, Han, and Mihaela Cocea. Granular Computing Based Machine Learning. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70058-8.

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5

Friedman, Craig. Utility-based learning from data. Chapman & Hall/CRC, 2010.

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6

Tsihrintzis, George A., Maria Virvou, and Lakhmi C. Jain, eds. Advances in Machine Learning/Deep Learning-based Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76794-5.

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7

Yu, Shi, Léon-Charles Tranchevent, Bart De Moor, and Yves Moreau. Kernel-based Data Fusion for Machine Learning. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19406-1.

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8

Wang, Liang, Guoying Zhao, Li Cheng, and Matti Pietikäinen, eds. Machine Learning for Vision-Based Motion Analysis. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-057-1.

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9

Naidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Information Science Reference, 2010.

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10

Jena, Om Prakash, Sabyasachi Pramanik, and Ahmed A. Elngar. Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003252009.

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11

Jena, Om Prakash, Sabyasachi Pramanik, and Ahmed A. Elngar. Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003252009.

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12

Moraes Sarmento, Simão, and Nuno Horta. A Machine Learning based Pairs Trading Investment Strategy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47251-1.

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13

Subrahmanian, V. S., Chiara Pulice, James F. Brown, and Jacob Bonen-Clark. A Machine Learning Based Model of Boko Haram. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60614-5.

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14

Borges, Tomé Almeida, and Rui Neves. Financial Data Resampling for Machine Learning Based Trading. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68379-5.

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15

Purswani, Krish. A probabilistic reasoning-based approach to machine learning. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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16

Hossain, M. Shamim, Utku Kose, and Deepak Gupta, eds. Explainable Machine Learning for Multimedia Based Healthcare Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38036-5.

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17

Dey, Prasenjit, Sudip Kumar Adhikari, Sourav De, and Indrajit Kar. Internet of Things-Based Machine Learning in Healthcare. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003391456.

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18

Nguyen, Thi Dieu Linh, and Joan Lu, eds. Machine Learning and Mechanics Based Soft Computing Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6450-3.

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19

Jalas, Sören. Machine Learning Based Optimization of Laser-Plasma Accelerators. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88083-4.

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20

Gerald, DeJong, ed. Investigating explanation-based learning. Kluwer Academic Publishers, 1993.

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21

Thrun, Sebastian. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Springer US, 1996.

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22

Diveev, Askhat, and Elizaveta Shmalko. Machine Learning Control by Symbolic Regression. Springer International Publishing AG, 2021.

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23

Diveev, Askhat, and Elizaveta Shmalko. Machine Learning Control by Symbolic Regression. Springer International Publishing AG, 2022.

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24

Perez, C. MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and REGRESSION. Independently Published, 2019.

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25

MACHINE LEARNING with MATLAB. SUPERIVISED LEARNING and REGRESSION. CreateSpace Independent Publishing Platform, 2017.

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26

Yu, Hao, Leibin Ni, and Sai Manoj Pudukotai Dinakarrao. ReRAM-Based Machine Learning. Institution of Engineering & Technology, 2021.

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27

Yu, Hao, Leibin Ni, and Sai Manoj Pudukotai Dinakarrao. ReRAM-Based Machine Learning. Institution of Engineering & Technology, 2021.

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28

Hao Yu, Leibin Ni, and Sai Manoj Pudukotai Dinakarrao. ReRAM-based Machine Learning. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbpc039e.

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29

Winn, John Michael. Model-Based Machine Learning. Taylor & Francis Group, 2021.

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30

Model-Based Machine Learning. CRC Press LLC, 2023.

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31

Yoon, Curt. Machine Learning and Python : Basics Guide to Learn Machine Learning and Programming: Logistic Regression Machine Learning Python. Independently Published, 2021.

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32

Kolodner, Janet L. Case-Based Learning. Springer, 2013.

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33

Vidales, A. Machine Learning with Matlab: Supervised Learning Using Predictive Models. Regression. Independently Published, 2019.

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34

Club, Rocket Baby. Mike's Peanuts : Machine Learning For Kids: Linear Regression. Rocket Baby Club, 2018.

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35

Karim, Rezaul. Machine Learning with Scala Quick Start Guide: Leverage Popular Machine Learning Algorithms and Techniques and Implement Them in Scala. Packt Publishing, Limited, 2019.

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36

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Limited, John, 2021.

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37

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Incorporated, John, 2021.

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38

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Incorporated, John, 2021.

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39

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Limited, John, 2021.

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40

Gori, Marco. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology Books, 2017.

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41

Bioinformatics Applications Based On Machine Learning. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0761-3.

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42

Gori, Marco, Alessandro Betti, and Stefano Melacci. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology Books, 2022.

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43

D, Marco Gori Ph. Machine Learning: A Constraint-Based Approach. Morgan Kaufmann, 2017.

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44

Gori, Marco, Alessandro Betti, and Stefano Melacci. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology, 2022.

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45

Nunkesser, Robin. Algorithms for Regression and Classification. Books on Demand GmbH, 2009.

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46

Matloff, Norman. Statistical Regression and Classification: From Linear Models to Machine Learning. Taylor & Francis Group, 2017.

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47

Matloff, Norman. Statistical Regression and Classification: From Linear Models to Machine Learning. Taylor & Francis Group, 2017.

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48

Matloff, Norman. Statistical Regression and Classification: From Linear Models to Machine Learning. Taylor & Francis Group, 2017.

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49

Matloff, Norman. Statistical Regression and Classification: From Linear Models to Machine Learning. Taylor & Francis Group, 2017.

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50

Matloff, Norman. Statistical Regression and Classification: From Linear Models to Machine Learning. Taylor & Francis Group, 2017.

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