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Books on the topic 'Machine Learning as a Service'

Author: Grafiati

Published: 6 September 2023

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1

Ebers, Martin, and Paloma Krõõt Tupay. Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19667-6.

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2

Kumar, Sumit, Raj Setia, and Kuldeep Singh, eds. Artificial Intelligence and Machine Learning in Satellite Data Processing and Services. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7698-8.

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3

Zhou, Zhi-Hua. Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1967-3.

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4

Jung, Alexander. Machine Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8193-6.

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5

Mitchell, Tom M., Jaime G. Carbonell, and Ryszard S. Michalski. Machine Learning. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2279-5.

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6

Fernandes de Mello, Rodrigo, and Moacir Antonelli Ponti. Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94989-5.

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7

Bell, Jason. Machine Learning. Indianapolis, IN, USA: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781119183464.

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8

Huang, Kaizhu, Haiqin Yang, Irwin King, and Michael Lyu. Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79452-3.

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9

Jebara, Tony. Machine Learning. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9011-2.

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10

Elger, Peter Peter, and Eoin Eoin Shanaghy. AI As a Service: Serverless Machine Learning with AWS. Manning Publications Company, 2020.

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11

Elger, Peter, and Eóin Shanaghy. AI As a Service: Serverless Machine Learning with AWS. Manning Publications Co. LLC, 2020.

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12

Self-Service AI with Power BI Desktop: Machine Learning Insights for Business. Apress L. P., 2020.

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13

High, Rob, and Tanmay Bakshi. Cognitive Computing with IBM Watson: Build Smart Applications Using Artificial Intelligence As a Service. Packt Publishing, Limited, 2019.

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14

Machine Learning with AWS: Explore the power of cloud services for your machine learning and artificial intelligence projects. Packt Publishing, 2018.

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15

Jena, Om Prakash, Alok Ranjan Tripathy, Brojo Kishore Mishra, and Ahmed A. Elngar, eds. Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150404011220301.

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Abstract:

Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services. This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data processing by intelligent devices in various domains. Readers will be able to understand how these technologies are making an impact on healthcare, supply chain management and electronic voting, to give a few examples. The 10 peer-reviewed book chapters have been contributed by scholars, researchers, academicians, and engineering professionals, and provide a comprehensive yet easily digestible update on Blockchain on IoT technology.

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16

Zincir‐Heywood, Nur, Marco Mellia, and Yixin Diao, eds. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning. Wiley, 2021. http://dx.doi.org/10.1002/9781119675525.

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17

Diao, Yixin, Nur Zincir-Heywood, and Marco Mellia. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning. Wiley & Sons, Limited, John, 2021.

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18

Diao, Yixin, Nur Zincir-Heywood, and Marco Mellia. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning. Wiley & Sons, Incorporated, John, 2021.

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19

Diao, Yixin, Nur Zincir-Heywood, and Marco Mellia. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning. Wiley & Sons, Incorporated, John, 2021.

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20

Diao, Yixin, Nur Zincir-Heywood, and Marco Mellia. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning. Wiley & Sons, Incorporated, John, 2021.

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21

Vieira, Armando. Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing. Apress, 2018.

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22

Gupta, Pranay, and Mandy Tham Tze-Minn Tham. Fintech: The New DNA of Financial Services. De Gruyter, Inc., 2018.

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23

Gupta, Pranay, and T. Mandy Tham. Fintech: The New DNA of Financial Services. De Gruyter, Inc., 2018.

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24

Sharma, Harish, Dinesh Goyal, Amit Kumar Gupta, and Vijander Singh. Smart Agricultural Services Using Deep Learning, Big Data, and IoT. IGI Global, 2020.

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25

Sharma, Harish, Dinesh Goyal, Amit Kumar Gupta, and Vijander Singh. Smart Agricultural Services Using Deep Learning, Big Data, and IoT. IGI Global, 2020.

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26

Sharma, Harish, Dinesh Goyal, Amit Kumar Gupta, and Vijander Singh. Smart Agricultural Services Using Deep Learning, Big Data, and IoT. IGI Global, 2020.

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27

Sharma, Harish, Dinesh Goyal, Amit Kumar Gupta, and Vijander Singh. Smart Agricultural Services Using Deep Learning, Big Data, and IoT. IGI Global, 2020.

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28

Sharma, Harish, Dinesh Goyal, Amit Kumar Gupta, and Vijander Singh. Smart Agricultural Services Using Deep Learning, Big Data, and IoT. IGI Global, 2020.

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29

Tupay, Paloma Krõõt, and Martin Ebers. Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia: Opportunities and Legal Challenges. Springer International Publishing AG, 2022.

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30

Smaltz, Detlev H., John C. Frenzel, and Prashant Natarajan. Demystifying Big Data and Machine Learning for Healthcare. Taylor & Francis Group, 2017.

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31

Smaltz, Detlev H., John C. Frenzel, Prashant Natarajan, and Healthcare Information and Management Systems Society Staff. Demystifying Big Data and Machine Learning for Healthcare. Taylor & Francis Group, 2021.

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32

Smaltz, Detlev H., John C. Frenzel, and Prashant Natarajan. Demystifying Big Data and Machine Learning for Healthcare. Taylor & Francis Group, 2017.

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33

Smaltz, Detlev H., John C. Frenzel, and Prashant Natarajan. Demystifying Big Data and Machine Learning for Healthcare. Taylor & Francis Group, 2017.

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34

Smaltz, Detlev H., John C. Frenzel, and Prashant Natarajan. Demystifying Big Data and Machine Learning for Healthcare. Taylor & Francis Group, 2017.

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35

Masood, Adnan. Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow. Apress, 2019.

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36

Wickham, Mark. Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services. Apress, 2018.

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37

Ranka, Sanjay, Chengliang Yang, Chris Delcher, and Elizabeth Shenkman. Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers. Taylor & Francis Group, 2019.

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38

Ranka, Sanjay, Chengliang Yang, Chris Delcher, and Elizabeth Shenkman. Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers. Taylor & Francis Group, 2019.

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39

Ranka, Sanjay, Chengliang Yang, Chris Delcher, and Elizabeth Shenkman. Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers. Taylor & Francis Group, 2019.

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40

AI-Powered Commerce: Building the Products and Services of the Future with Commerce. AI. Packt Publishing, Limited, 2022.

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41

Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics. Taylor & Francis Group, 2020.

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42

Wu, Hulin, Jose Miguel Yamal, Ashraf Yaseen, and Vahed Maroufy. Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics. Taylor & Francis Group, 2020.

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43

Wu, Hulin, Jose Miguel Yamal, Ashraf Yaseen, and Vahed Maroufy. Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics. Taylor & Francis Group, 2020.

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44

Wu, Hulin, Jose Miguel Yamal, and Ashraf Yaseen. Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics. CRC Press LLC, 2022.

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45

Data Driven Approaches for Health Care: Machine Learning for Identifying High Utilizers. Taylor & Francis Group, 2019.

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46

Ranka, Sanjay, Chengliang Yang, Chris Delcher, and Elizabeth Shenkman. Data Driven Approaches for Healthcare: Machine Learning Approaches for Identifying High Utilizers. Taylor & Francis Group, 2019.

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47

Aroraa, Gaurav, Adnan Masood, and Ed Price. Hands-On Azure Cognitive Services: Applying AI and Machine Learning for Richer Applications. Apress L. P., 2021.

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48

Herreros, Ivan. Learning and control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0026.

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Abstract:

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

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49

Kastrun, Tomaz, and Julie Koesmarno. SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics. Packt Publishing, 2018.

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50

Wickham. PRACTICAL JAVA MACHINE LEARNING: PROJECTS WITH GOOGLE CLOUD PLATFORM AND AMAZON WEB SERVICES [Paperback] Wickham. Apress, 2019.

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