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Gradient analysis
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181	ACER Mathematics Assessment for Test date: 24 November 2010 International Add to Reading List Source URL: www.aceruk.net Language: English - Date: 2014-05-20 21:02:56 Functions and mappings Polynomial Derivative Calculus Gradient Mathematical analysis Mathematics Differential calculus
182	OIKOS 105: 117 /124, 2004 Patterns in the species environment relationship depend on both scale and choice of response variables Add to Reading List Source URL: www.umass.edu Language: English - Date: 2009-09-07 14:24:35 Biology Probability theory Variance Species distribution Explained variation Environmental gradient Statistics Ecology Data analysis
183	Appendix B Chain-rule propagation algorithms B.1 Add to Reading List Source URL: q12.org Language: English - Date: 2002-03-13 22:41:13 Matrix theory Gradient descent Matrix calculus Matrix Perceptron Algebra Mathematics Numerical analysis
184	Ch.7 Nonlinear optimization [Book, Chap. 5] To appreciate the vast difference between linear optimization and nonlinear optimization, consider the relation y = w0 + L Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-28 03:07:27 Applied mathematics Gradient descent Linear programming Quasi-Newton method Descent direction W0 Least squares Numerical analysis Mathematical optimization Operations research
185	Appendix B Chain-rule propagation algorithms B.1 Add to Reading List Source URL: www.q12.org Language: English - Date: 2002-03-13 22:41:13 Matrix theory Gradient descent Matrix calculus Matrix Perceptron Algebra Mathematics Numerical analysis
186	Case Study 1: Estimating Click Probabilities SGD cont’d AdaGrad Machine Learning for Big Data CSE547/STAT548, University of Washington Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-04-02 14:33:26 Numerical linear algebra Convex optimization Mathematical optimization Subgradient method Gradient Mathematical analysis Numerical analysis Mathematics
187	15 Optimization Once you’ve gathered your data, selected a representation to work with, chosen a framework for function approximation, specified an error metric, and expressed your prior beliefs about the model, then Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-29 10:51:08 Nelder–Mead method Mathematical optimization Conjugate gradient method Gradient descent Simplex Numerical analysis Operations research Mathematics
188	Case Study 1: Estimating Click Probabilities Intro Logis+c Regression Gradient Descent + SGD Machine Learning for Big Data Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-03-31 00:33:09 Actuarial science Logistic function Statistics Econometrics Regression analysis
189	Case Study 1: Estimating Click Probabilities Intro Logis+c Regression Gradient Descent + SGD Machine Learning for Big Data Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-03-31 15:00:34 Actuarial science Regression analysis Regression Support vector machine Statistics Econometrics Statistical classification
190	Short Math Guide for LATEX Michael Downes American Mathematical Society Version[removed]), currently available at http://www.ams.org/tex/short-math-guide.html 1. Introduction This is a concise summary of recommen Add to Reading List Source URL: www.tex.uniyar.ac.ru Language: English - Date: 2012-04-06 06:48:45 Derivation of the conjugate gradient method Numerical linear algebra Classical orthogonal polynomials Numerical analysis Mathematics Physics

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