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Books on the topic 'Machine and deep learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Kang, Mingu, Sujan Gonugondla, and Naresh R. Shanbhag. Deep In-memory Architectures for Machine Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35971-3.

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2

Tetko, Igor V., Věra Kůrková, Pavel Karpov, and Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30484-3.

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3

Gopi, E. S., ed. Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0289-4.

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4

Tache, Nicole, ed. Learning TensorFlow: A Guide to Building Deep Learning Systems. Beijing: O'Reilly Media, 2017.

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5

Bisong, Ekaba. Building Machine Learning and Deep Learning Models on Google Cloud Platform. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4470-8.

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6

Mangrulkar, Ramchandra S., Antonis Michalas, Narendra M. Shekokar, Meera Narvekar, and Pallavi V. Chavan. Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003133681.

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7

Iba, Hitoshi. Evolutionary Approach to Machine Learning and Deep Neural Networks. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0200-8.

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8

Suganthi, K., R. Karthik, G. Rajesh, and Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003107477.

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9

Cinelli, Lucas Pinheiro, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, and Sérgio Lima Netto. Variational Methods for Machine Learning with Applications to Deep Networks. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70679-1.

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10

Devi, K. Gayathri. Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches. Edited by Mamata Rath and Nguyen Thi Dieu Linh. Boca Raton, FL : CRC Press, 2021. | Series: Artificial intelligence (AI). Elementary to advanced practices: CRC Press, 2020. http://dx.doi.org/10.1201/9780367854737.

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11

Saefken, Benjamin, Alexander Silbersdorff, and Christoph Weisser, eds. Learning deep. Göttingen: Göttingen University Press, 2020. http://dx.doi.org/10.17875/gup2020-1338.

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12

Bengio, Yoshua, Aaron Courville, and Ian Goodfellow. Deep Learning. MIT Press, 2016.

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13

Bengio, Yoshua, Aaron Courville, and Ian Goodfellow. Deep Learning. MIT Press, 2016.

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14

Deep Learning. MIT Press, 2017.

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15

Deep Learning. MIT Press, 2017.

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16

Deep Learning. Cambridge, USA: MIT Press, 2019.

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17

Kelleher, John D. Deep Learning. MIT Press, 2019.

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18

Kelleher, John D. Deep Learning. MIT Press, 2019.

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19

Deep Learning in Biometrics. CRC Press, 2018.

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20

Bengio, Yoshua. Learning Deep Architectures for AI. Now Publishers Inc, 2009.

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21

Charniak, Eugene. Introduction to Deep Learning. MIT Press, 2019.

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22

Charniak, Eugene. Introduction to Deep Learning. The MIT Press, 2019.

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23

Charniak, Eugene. Introduction to Deep Learning. MIT Press, 2019.

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24

Introduction to Deep Learning. Pearson Education, Limited, 2018.

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25

Programming Machine Learning: From Coding to Deep Learning. Pragmatic Programmers, LLC, The, 2020.

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26

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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27

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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28

Sejnowski, Terrence J. Deep Learning Revolution. MIT Press, 2018.

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29

Mahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.

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30

Kadre, Shailendra, and Vankata Reddy Konasani. Machine Learning and Deep Learning Using Python and TensorFlow. McGraw-Hill Education, 2020.

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31

Mahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.

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32

Mahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.

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33

Mahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.

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34

Shanbhag, Naresh R., Mingu Kang, and Sujan Gonugondla. Deep In-memory Architectures for Machine Learning. Springer, 2020.

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35

Sejnowski, Terrence J. The Deep Learning Revolution. Tantor Audio, 2019.

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36

The deep learning revolution. The MIT Press, 2018.

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37

Karim, Md Rezaul. Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala. Packt Publishing, 2018.

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38

Jain, Lakhmi C., and George A. Tsihrintzis. Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications. Springer, 2020.

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39

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition. Packt Publishing, 2017.

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40

Nicolas, Patrick R. Scala for Machine Learning - Second Edition: Build systems for data processing, machine learning, and deep learning. Packt Publishing - ebooks Account, 2017.

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41

Deep Learning: A Practitioner's Approach. O'Reilly Media, 2017.

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42

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition. Packt Publishing, 2019.

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43

Pain, George. Machine Learning for Business: A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning. Createspace Independent Publishing Platform, 2017.

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44

Singh, Pramod. Learn PySpark: Build Python-based Machine Learning and Deep Learning Models. Apress, 2019.

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45

Peng, Sheng-Lung, Anand Nayyar, Sandeep Kautish, and Pradeep Nijalingappa. Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics. Elsevier Science & Technology Books, 2021.

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46

Kim, Phil. MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence. Apress, 2017.

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47

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics. Elsevier, 2021. http://dx.doi.org/10.1016/c2019-0-03651-5.

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48

Deep Learning and the Game of Go. Manning Publications, 2019.

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49

Singh, Pramod, and Avinash Manure. Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python. Apress, 2020.

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50

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning. O'Reilly Media, 2018.

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