Libri sul tema "Probability learning"
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Batanero, Carmen, Egan J. Chernoff, Joachim Engel, Hollylynne S. Lee e Ernesto Sánchez. Research on Teaching and Learning Probability. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31625-3.
Testo completoDasGupta, Anirban. Probability for Statistics and Machine Learning. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9634-3.
Testo completoPeck, Roxy. Statistics: Learning from data. Australia: Brooks/Cole, Cengage Learning, 2014.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18545-9.
Testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30717-6.
Testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04648-3.
Testo completoPowell, Warren B. Optimal learning. Hoboken, New Jersey: Wiley, 2012.
Cerca il testo completoVapnik, Vladimir Naumovich. The Nature of Statistical Learning Theory. New York, NY: Springer New York, 1995.
Cerca il testo completoDasGupta, Anirban. Probability for statistics and machine learning: Fundamentals and advanced topics. New York: Springer, 2011.
Cerca il testo completoWan, Shibiao. Machine learning for protein subcellular localization prediction. Boston: De Gruyter, 2015.
Cerca il testo completoVelleman, Paul F. Learning data analysis with Data desk. New York: W.H. Freeman, 1993.
Cerca il testo completoVelleman, Paul F. Learning data analysis with Data desk. New York: W.H. Freeman, 1989.
Cerca il testo completoLim, Chee Peng. An incremental adaptive network for on-line, supervised learning and probability estimation. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.
Cerca il testo completoGabbay, Dov M. Abductive Reasoning and Learning. Dordrecht: Springer Netherlands, 2000.
Cerca il testo completoSumma, Mireille Gettler. Statistical learning and data science. Boca Raton: CRC Press, 2012.
Cerca il testo completoPalfrey, Thomas R. Testing game-theoretic models of free riding: New evidence on probability bias and learning. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1990.
Cerca il testo completoRasmussen, Carl Edward. Gaussian processes for machine learning. Cambridge, Mass: MIT Press, 2006.
Cerca il testo completoRasmussen, Carl Edward. Gaussian processes for machine learning. Cambridge, MA: MIT Press, 2005.
Cerca il testo completoVidyasagar, M. Learning and Generalisation: With Applications to Neural Networks. London: Springer London, 2003.
Cerca il testo completoDehmer, Matthias. Statistical and machine learning approaches for network analysis. Hoboken, N.J: Wiley, 2012.
Cerca il testo completoBerk, Richard. Criminal Justice Forecasts of Risk: A Machine Learning Approach. New York, NY: Springer New York, 2012.
Cerca il testo completoThathachar, Mandayam A. L. Networks of learning automata: Techniques for online stochastic optimization. Boston: Kluwer Academic, 2004.
Cerca il testo completoThathachar, Mandayam A. L. Networks of learning automata: Techniques for online stochastic optimization. Boston, MA: Kluwer Academic, 2003.
Cerca il testo completoEveritt, Brian. The analysis of contingency tables. 2a ed. London: Chapman & Hall, 1992.
Cerca il testo completoKoltchinskii, Vladimir. Oracle inequalities in empirical risk minimization and sparse recovery problems: École d'été de probabilités de Saint-Flour XXXVIII-2008. Berlin: Springer Verlag, 2011.
Cerca il testo completoBaram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.
Cerca il testo completoDietrich, Albert, a cura di. Knowledge structures. Berlin: Springer-Verlag, 1994.
Cerca il testo completoSanner, Scott. Recent Advances in Reinforcement Learning: 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Cerca il testo completoFlach, Peter A. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Cerca il testo completoFlach, Peter A. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Cerca il testo completoPeck, Roxy, e Chris Olsen. Statistics: Learning from Data. Brooks/Cole, 2013.
Cerca il testo completoPeck, Roxy, e Tom Short. Statistics: Learning from Data. Brooks/Cole, 2017.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Springer, 2019.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Springer International Publishing AG, 2022.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Springer, 2016.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Springer London, Limited, 2016.
Cerca il testo completoUnpingco, José. Python for Probability, Statistics, and Machine Learning. Springer, 2020.
Cerca il testo completoPeck, Roxy. Statistics: Learning from Data. Cengage Learning, 2023.
Cerca il testo completoPeck, Roxy. Statistics: Learning from Data. Brooks/Cole, 2013.
Cerca il testo completoThe Art of Statistics: Learning from Data. Pelican Books, 2019.
Cerca il testo completoThe Art of Statistics: Learning from Data. Great Britain: Pelican Books, 2019.
Cerca il testo completoResearch Institute for Advanced Computer Science (U.S.), a cura di. Bayesian learning. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.
Cerca il testo completoKnox, Steven W. Machine Learning: a Concise Introduction (Wiley Series in Probability and Statistics). Wiley, 2018.
Cerca il testo completoJones, Graham A. Exploring Probability in School: Challenges for Teaching and Learning. Springer, 2010.
Cerca il testo completoBatanero, Carmen, e Egan J. Chernoff. Teaching and Learning Stochastics: Advances in Probability Education Research. Springer, 2018.
Cerca il testo completoJones, Graham A. Exploring Probability in School: Challenges for Teaching and Learning. Springer, 2005.
Cerca il testo completoBatanero, Carmen, e Egan J. Chernoff. Teaching and Learning Stochastics: Advances in Probability Education Research. Springer, 2019.
Cerca il testo completoDuerr, Oliver, e Beate Sick. Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability. Manning Publications Co. LLC, 2020.
Cerca il testo completoERIC Clearinghouse for Science, Mathematics, and Environmental Education., a cura di. Resources for teaching and learning about probability and statistics. [Columbus, Ohio]: ERIC Clearinghouse for Science, Mathematics and Environmental Education, 1999.
Cerca il testo completoDuerr, Oliver, Beate Sick e Elvis Murina. Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability. Manning Publications, 2020.
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