Books on the topic 'Streaming Data Processing for Machine Learning'
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Putatunda, Sayan. Practical Machine Learning for Streaming Data with Python. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6867-4.
Full textBhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6315-7.
Full textBhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6318-8.
Full textUtgoff, Paul E. Machine learning of inductive bias. Kluwer Academic Publishers, 1986.
Find full textPathak, Manas A. Privacy-Preserving Machine Learning for Speech Processing. Springer New York, 2013.
Find full textAdvances in machine learning and data mining for astronomy. Chapman and Hall/CRC, 2012.
Find full textI, Williams Christopher K., ed. Gaussian processes for machine learning. MIT Press, 2006.
Find full textMena, Jesus. Machine learning forensics for law enforcement, security, and intelligence. Taylor & Francis, 2011.
Find full textTache, Nicole, ed. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. O’Reilly Media, 2018.
Find full textMachine learning forensics for law enforcement, security, and intelligence. Taylor & Francis, 2011.
Find full textBarbakh, Wesam Ashour. Non-standard parameter adaptation for exploratory data analysis. Springer, 2009.
Find full textIrniger, Christophe-André Mario. Graph matching: Filtering databases of graphs using machine learning techniques. AKA, 2005.
Find full textInternational, Joint Conference on Artificial Intelligence (14th 1995 Montréal Québec). Adaption and learning in multi-agent systems: IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings. Springer, 1996.
Find full textFilip, Mulier, ed. Learning from data: Concepts, theory, and methods. Wiley, 1998.
Find full textLearning from data: Concepts, theory, and methods. 2nd ed. Wiley-Interscience, 2008.
Find full textGermany), MLDM'99 (1999 Leipzig. Machine learning and data mining in pattern recognition: First international workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, proceedings. Springer, 1999.
Find full textE, Diday, and Institut national de recherche en informatique et en automatique (France), eds. Data analysis, learning symbolic and numeric knowledge: Proceedings of the Conference on Data Analysis, Learning Symbolic and Numeric Knowledge, Antibes, September 11-14, 1989. Nova Science Publishers, 1989.
Find full textConference on Data Analysis, Learning Symbolic and Numeric Knowledge (1989 Antibes, France). Data analysis, learning symbolic and numeric knowledge: Proceedings of the Conference on Data Analysis, Learning Symbolic and Numeric Knowledge, Antibes, September 11-14, 1989. Nova Science Publishers, 1989.
Find full textPetra, Perner, ed. Machine learning and data mining in pattern recognition: Second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings. Springer, 2001.
Find full textCleophas, Ton J., and Aeilko H. Zwinderman. Machine Learning in Medicine. Springer, 2013.
Find full textZwinderman, Aeilko H., and Ton J. J. Cleophas. Machine Learning in Medicine. Springer, 2015.
Find full textGuida, Tony. Big Data and Machine Learning in Quantitative Investment. Wiley, 2019.
Find full textNicolas, Patrick R. Scala for Machine Learning - Second Edition: Build systems for data processing, machine learning, and deep learning. Packt Publishing - ebooks Account, 2017.
Find full textMahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.
Find full textMahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.
Find full textMahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.
Find full textMahrishi, Mehul, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma. Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020.
Find full textGholamreza, Nakhaeizadeh, Taylor C. C, and European Conference on Machine Learning (1994 : Catania, Italy), eds. Machine learning and statistics: The interface. Wiley, 1997.
Find full textZwinderman, Aeilko H., and Ton J. J. Cleophas. Machine Learning in Medicine: Part Two. Springer, 2015.
Find full textCleophas, Ton J., and Aeilko H. Zwinderman. Machine Learning in Medicine: Part Two. Springer, 2013.
Find full textCleophas, Ton J., and Aeilko H. Zwinderman. Machine Learning in Medicine: Part Three. Springer, 2017.
Find full textKutz, J. Nathan, and Steven L. Brunton. Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Cambridge University Press, 2019.
Find full textMackenzie, Adrian. Machine Learners: Archaeology of a Data Practice. MIT Press, 2017.
Find full textMackenzie, Adrian. Machine Learners: Archaeology of a Data Practice. MIT Press, 2017.
Find full textMackenzie, Adrian. Machine Learners - Archaeology of a Data Practice. MIT Press, 2017.
Find full textMackenzie, Adrian. Machine Learners: Archaeology of a Data Practice. MIT Press, 2017.
Find full textMackenzie, Adrian. Machine Learners: Archaeology of a Data Practice. The MIT Press, 2017.
Find full textLiu, Han, and Mihaela Cocea. Granular Computing Based Machine Learning: A Big Data Processing Approach. Springer, 2018.
Find full textLiu, Han, and Mihaela Cocea. Granular Computing Based Machine Learning: A Big Data Processing Approach. Springer, 2017.
Find full textKarim, Md Rezaul, and Sridhar Alla. Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning. Packt Publishing, 2017.
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