Mon premier blog

Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Publisher: MIT Press

Achine learning is a multidisciplinary field of research focusing on the mathematical foundations and practical applications of systems that learn, reason and act. Feb 27, 2014 - 7 covers both resampling (cross-validation and bootstrap) and machine learning classification (LDA, kNN) and regression (neural net) methods. Http://www.cs.nyu.edu/~mohri/ml14/. Mohri, Mehryar, Afshin Rostamizadeh, and Ameet Talwalkar. Nov 3, 2013 - Pattern Recognition and Machine Learning by Christopher Bishop (Springer); Bayesian Reasoning and Machine Learning by David Barber (Cambridge University Press); Programming Collective Intelligence by Toby Segaran (O'Reilly) Foundations of Machine Learning by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar (MIT Press); Introduction to Machine Learning (Adaptive Computation and Machine Learning) by Ethem Alpaydim (MIT Press). Jul 25, 2012 - Subjects: Machine Learning (stat.ML); Information Retrieval (cs.IR); Learning (cs.LG). Jun 19, 2009 - The workshop is on the relationship between database privacy and the theoretical foundations of statistics and machine learning. Jan 14, 2013 - Rule learning is not only one of the oldest but also one of the most intensively investigated, most frequently used, and best developed fields of machine learning. Journal reference: Foundations and Trends in Machine Learning: Vol. Apr 20, 2012 - NOW Publishers, Foundations and Trends in Machine Learning, Volume 3, Issue 2, 2011, Technical Report, Preprint: arXiv:1104.5557 (2011). Foundations of machine learning. Jul 27, 2013 - As machine learning is a very vast area, we will target specifically the neural networks' aspect of machine learning.