Livros sobre o tema "Machine learnings"
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Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. Saarbrücken: VDM Verlag Dr. Müller, 2009.
Encontre o texto completo da fonteCampbell, Colin. Learning with support vector machines. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.
Encontre o texto completo da fonteBoyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Hauppauge, N.Y: Nova Science Publishers, 2011.
Encontre o texto completo da fonteZhou, Zhi-Hua. Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1967-3.
Texto completo da fonteJung, Alexander. Machine Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8193-6.
Texto completo da fonteMitchell, Tom M., Jaime G. Carbonell e Ryszard S. Michalski. Machine Learning. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2279-5.
Texto completo da fonteFernandes de Mello, Rodrigo, e Moacir Antonelli Ponti. Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94989-5.
Texto completo da fonteBell, Jason. Machine Learning. Indianapolis, IN, USA: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781119183464.
Texto completo da fonteHuang, Kaizhu, Haiqin Yang, Irwin King e Michael Lyu. Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79452-3.
Texto completo da fonteJebara, Tony. Machine Learning. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9011-2.
Texto completo da fonteThe sewing machine classroom: Learning the ins and outs of your machine. Cincinnati, OH: Krause Publications, 2011.
Encontre o texto completo da fonteLopes, Noel, e Bernardete Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06938-8.
Texto completo da fonteHutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.
Encontre o texto completo da fonteAndreas, Christmann, ed. Support vector machines. New York: Springer, 2008.
Encontre o texto completo da fonteJoachim, Diederich, ed. Rule extraction from support vector machines. Berlin: Springer, 2008.
Encontre o texto completo da fonteVorobeychik, Yevgeniy, e Murat Kantarcioglu. Adversarial Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01580-9.
Texto completo da fonteChen, Zhiyuan, e Bing Liu. Lifelong Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01581-6.
Texto completo da fonteTsihrintzis, George A., Dionisios N. Sotiropoulos e Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94030-4.
Texto completo da fonteHutter, Frank, Lars Kotthoff e Joaquin Vanschoren, eds. Automated Machine Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05318-5.
Texto completo da fonteSun, Shiliang, Liang Mao, Ziang Dong e Lidan Wu. Multiview Machine Learning. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3029-2.
Texto completo da fonteZhang, Cha, e Yunqian Ma, eds. Ensemble Machine Learning. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-9326-7.
Texto completo da fonteTsihrintzis, George A., Maria Virvou, Evangelos Sakkopoulos e Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15628-2.
Texto completo da fonteCarter, Eric, e Matthew Hurst. Agile Machine Learning. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5107-2.
Texto completo da fonteVermeulen, Andreas François. Industrial Machine Learning. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5316-8.
Texto completo da fonteStohr, Daniel Christoph. Beruflichen Anforderungen der Digitalisierung Hinsichtlich Formaler, Physischer und Kompetenzspezifischer Aspekte: Eine Analyse Von Stellenanzeigen Mittels Methoden des Text Minings und Machine Learnings. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2019.
Encontre o texto completo da fonteStohr, Daniel Christoph. Die Beruflichen Anforderungen der Digitalisierung Hinsichtlich Formaler, Physischer und Kompetenzspezifischer Aspekte: Eine Analyse Von Stellenanzeigen Mittels Methoden des Text Minings und Machine Learnings. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2019.
Encontre o texto completo da fonteStohr, Daniel Christoph. Die Beruflichen Anforderungen der Digitalisierung Hinsichtlich Formaler, Physischer und Kompetenzspezifischer Aspekte: Eine Analyse Von Stellenanzeigen Mittels Methoden des Text Minings und Machine Learnings. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2019.
Encontre o texto completo da fonteStohr, Daniel Christoph. Die Beruflichen Anforderungen der Digitalisierung Hinsichtlich Formaler, Physischer und Kompetenzspezifischer Aspekte: Eine Analyse Von Stellenanzeigen Mittels Methoden des Text Minings und Machine Learnings. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2019.
Encontre o texto completo da fonteGoldberg, Andrew, e Xiaojin Zhu. Introduction to Semi-Supervised Learning. Morgan & Claypool Publishers, 2009.
Encontre o texto completo da fonteGoldberg, Andrew, e Xiaojin Zhu. Introduction to Semi-supervised Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning). Morgan & Claypool Publishers, 2008.
Encontre o texto completo da fonteTakano, Shigeyuki. Thinking Machines: Machine Learning and Its Hardware Implementation. Elsevier Science & Technology Books, 2021.
Encontre o texto completo da fonteLopes, Noel, e Bernardete Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Springer, 2016.
Encontre o texto completo da fonteLopes, Noel, e Bernardete Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Springer, 2014.
Encontre o texto completo da fonteLopes, Noel, e Bernardete Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Springer, 2014.
Encontre o texto completo da fonteLopes, Noel, e Bernardete Ribeiro. Machine Learning for Adaptive Many-Core Machines - a Practical Approach. Springer, 2014.
Encontre o texto completo da fonteCholewa, Valentin. Machine-Learning Basics for Beginners : Machine Learning Methods: Enterprise Machine Learning Guide. Independently Published, 2021.
Encontre o texto completo da fonteLiu, Shaowu, e Zhi-Hua Zhou. Machine Learning. Springer, 2020.
Encontre o texto completo da fonteMarsland, Stephen. Machine Learning. Chapman and Hall/CRC, 2014. http://dx.doi.org/10.1201/b17476.
Texto completo da fonteMooney, Raymond J. Machine Learning. Editado por Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0020.
Texto completo da fonteZhang, Yagang, ed. Machine Learning. InTech, 2010. http://dx.doi.org/10.5772/217.
Texto completo da fonteMachine Learning. United States: University of California, 2018. http://dx.doi.org/10.4135/9781529795417.
Texto completo da fonteMachine Learning. Elsevier, 1990. http://dx.doi.org/10.1016/c2009-0-27578-7.
Texto completo da fonteMachine Learning. Elsevier, 1991. http://dx.doi.org/10.1016/c2009-0-27657-4.
Texto completo da fonteMachine Learning. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-19102-7.
Texto completo da fonteMachine Learning. Elsevier, 2018. http://dx.doi.org/10.1016/c2015-0-00237-4.
Texto completo da fonteMachine Learning. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-03724-2.
Texto completo da fonteMachine Learning. Elsevier, 2020. http://dx.doi.org/10.1016/c2019-0-03772-7.
Texto completo da fonteKang, Minsoo, e Eunsoo Choi. Machine Learning. WORLD SCIENTIFIC, 2021. http://dx.doi.org/10.1142/12037.
Texto completo da fonteMarsland, Stephen. Machine Learning. Chapman and Hall/CRC, 2011. http://dx.doi.org/10.1201/9781420067194.
Texto completo da fonteTheodoridis, Sergios. Machine Learning. Elsevier Science & Technology, 2020.
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