Книги з теми "Systems for Machine Learning"

Chen, Joy Iong-Zong, Haoxiang Wang, Ke-Lin Du, and V. Suma, eds. Machine Learning and Autonomous Systems. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7996-4.

Ao, Sio-Iong, Burghard Rieger, and Mahyar A. Amouzegar, eds. Machine Learning and Systems Engineering. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9419-3.

B, Rieger Burghard, Amouzegar Mahyar A, and SpringerLink (Online service), eds. Machine Learning and Systems Engineering. Dordrecht: Springer Science+Business Media B.V., 2011.

Nandan Mohanty, Sachi, Vicente Garcia Diaz, and G. A. E. Satish Kumar, eds. Intelligent Systems and Machine Learning. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35078-8.

Nandan Mohanty, Sachi, Vicente Garcia Diaz, and G. A. E. Satish Kumar, eds. Intelligent Systems and Machine Learning. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35081-8.

Chandran, C. Karthik, M. Rajalakshmi, Sachi Nandan Mohanty, and Subrata Chowdhury. Machine Learning for Healthcare Systems. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003438816.

Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. Saarbrücken: VDM Verlag Dr. Müller, 2009.

Beyerer, Jürgen, Christian Kühnert, and Oliver Niggemann, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58485-9.

Beyerer, Jürgen, Alexander Maier, and Oliver Niggemann, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62746-4.

Niggemann, Oliver, and Jürgen Beyerer, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48838-6.

Beyerer, Jürgen, Oliver Niggemann, and Christian Kühnert, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53806-7.

Beyerer, Jürgen, Alexander Maier, and Oliver Niggemann, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-59084-3.

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

Shehory, Onn, Eitan Farchi, and Guy Barash, eds. Engineering Dependable and Secure Machine Learning Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62144-5.

Kächele, Markus. Machine Learning Systems for Multimodal Affect Recognition. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28674-3.

Anisha, P. R., C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, and Marlia Mohd Hanafiah. Intelligent Systems and Machine Learning for Industry. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003286745.

Myles, White John, ed. Machine learning for email. Sebastopol, CA: O'Reilly Media, 2011.

Adeli, Hojjat. Machine learning: Neural networks, genetic algorithms, and fuzzy systems. New York: Wiley, 1995.

H, Connell Jonathan, and Mahadevan Sridhar 1960-, eds. Robot learning. Boston: Kluwer Academic Publishers, 1993.

Li, Heng. Machine learning of design concepts. Southampton, UK: Computational Mechanics Publications, 1994.

Design and analysis of learning classifier systems: A probabilistic approach. Berlin: Springer, 2008.

Gong, Yihong. Machine learning for multimedia content analysis. New York: Springer, 2007.

Shuurmans, Dale Eric. Effective classification learning. Toronto: University of Toronto, 1996.

Jebara, Tony. Machine Learning: Discriminative and Generative. Boston, MA: Springer US, 2004.

Shaikh, Tawseef Ayoub, Saqib Hakak, Tabasum Rasool, and Mohammed Wasid. Machine Learning and Artificial Intelligence in Healthcare Systems. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003265436.

Indovina, Johnson. Machine Learning Systems: Learn How to Develop Machine-Learning Systems. Independently Published, 2022.

Machine Learning Recommender Systems. United States: University of California, 2018. http://dx.doi.org/10.4135/9781529795424.

Machine Learning for Energy Systems. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03943-383-4.

Amouzegar, Mahyar, Sio-Iong Ao, and Burghard B. Rieger. Machine Learning and Systems Engineering. Springer, 2012.

Jebara, Tony. Machine Learning. Springer, 2011.

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.

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.

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.

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.

Application of learning classifier systems. Berlin: Springer, 2004.

Autonomous Learning Systems. John Wiley & Sons, 2013.

Gulzar, Zameer, and A. Anny Leema. Machine Learning Approaches for Improvising Modern Learning Systems. IGI Global, 2020.

Gulzar, Zameer, and A. Anny Leema. Machine Learning Approaches for Improvising Modern Learning Systems. IGI Global, 2020.

Gulzar, Zameer, and A. Anny Leema. Machine Learning Approaches for Improvising Modern Learning Systems. IGI Global, 2020.

Gulzar, Zameer, and A. Anny Leema. Machine Learning Approaches for Improvising Modern Learning Systems. IGI Global, 2020.

Gulzar, Zameer, and A. Anny Leema. Machine Learning Approaches for Improvising Modern Learning Systems. IGI Global, 2020.

Building Machine Learning Systems with Python. Packt Publishing, 2013.

Boehm, Matthias, Jun Yang, Arun Kumar, and H. V. Jagadish. Data Management in Machine Learning Systems. Morgan & Claypool Publishers, 2019.

Boehm, Matthias, Jun Yang, Arun Kumar, and H. V. Jagadish. Data Management in Machine Learning Systems. Morgan & Claypool Publishers, 2019.

Smith, Jeffrey. Machine Learning Systems: Designs That Scale. Manning Publications Co. LLC, 2018.

Designing Machine Learning Systems with Python. Packt Publishing, 2016.

Boehm, Matthias, Jun Yang, and Arun Kumar. Data Management in Machine Learning Systems. Springer International Publishing AG, 2019.

Boehm, Matthias, Jun Yang, Arun Kumar, and H. V. Jagadish. Data Management in Machine Learning Systems. Morgan & Claypool Publishers, 2019.

Machine Learning Systems: Designs that scale. Manning Publications, 2018.

Coelho, Luis Pedro, and Willi Richert. Building Machine Learning Systems with Python. Packt Publishing, Limited, 2013.