Difference between revisions of "Books"

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* Probabilistic graphical models by Daphne Koller and Nir Friedman, 2009
 
* Probabilistic graphical models by Daphne Koller and Nir Friedman, 2009
 
* [https://doc.lagout.org/science/Artificial%20Intelligence/Machine%20learning/Machine%20Learning_%20A%20Probabilistic%20Perspective%20%5BMurphy%202012-08-24%5D.pdf Machine learning: a probabilistic perspective by Kevin P. Murphy, 2012]
 
* [https://doc.lagout.org/science/Artificial%20Intelligence/Machine%20learning/Machine%20Learning_%20A%20Probabilistic%20Perspective%20%5BMurphy%202012-08-24%5D.pdf Machine learning: a probabilistic perspective by Kevin P. Murphy, 2012]
 +
* Bayesian data analysis by Andrew Gelman et al., 2013
  
 
=Functional data analysis=
 
=Functional data analysis=

Revision as of 02:04, 30 December 2020

Machine learning for beginners

Linear algebra

Optimization

Basic statistics

  • Probability Theory Alexandr A. Borovkov, 2006
  • Mathematical statistics by A.A. Borovkov, 1999
  • Linear Statistical Inference & Its Applications by C. Radhakrishna Rao, 1967
  • Linear Models and Generalizations: Least Squares and Alternatives by C. Radhakrishna Rao et al., 2007

Bayesian statistics and inference

Functional data analysis

Programming

Russian edition