bindichen.co.uk

Bindi's Personal Web Space & Research Note

Research Notes for Developers and Researchers. Normal Distribution (Gaussian Distribution). Probability Density Function (PDF). Nonlinear System VS Linear System. Root Mean Square Error. Cartesian coordinate system and Polar coordinate system. Similarity, Dissimilarity and Distance. Radial basis function (RBF). Least Square (Optimisation Algorithm). Gradient Descent (Optimisation Algorithm). Linear Regression using Matrices. Basic of Matrix (Matrix Operations). Gauss-Jordan Method of Finding the Inverse.

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Research Notes for Developers and Researchers. Normal Distribution (Gaussian Distribution). Probability Density Function (PDF). Nonlinear System VS Linear System. Root Mean Square Error. Cartesian coordinate system and Polar coordinate system. Similarity, Dissimilarity and Distance. Radial basis function (RBF). Least Square (Optimisation Algorithm). Gradient Descent (Optimisation Algorithm). Linear Regression using Matrices. Basic of Matrix (Matrix Operations). Gauss-Jordan Method of Finding the Inverse.

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2 wind turbine

3 artificial intelligence

4 pattern recognition

5 java

6 expert system

7 data mining

8 software engineering

9 miscellaneous

10 maths

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fundamentals,wind turbine,artificial intelligence,pattern recognition,java,expert system,data mining,software engineering,miscellaneous,maths,axiom vs theorem,standard deviation,poisson distribution,binormal distribution,exponential distribution,number

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Bindi's Personal Web Space & Research Note | bindichen.co.uk Reviews

https://bindichen.co.uk

Research Notes for Developers and Researchers. Normal Distribution (Gaussian Distribution). Probability Density Function (PDF). Nonlinear System VS Linear System. Root Mean Square Error. Cartesian coordinate system and Polar coordinate system. Similarity, Dissimilarity and Distance. Radial basis function (RBF). Least Square (Optimisation Algorithm). Gradient Descent (Optimisation Algorithm). Linear Regression using Matrices. Basic of Matrix (Matrix Operations). Gauss-Jordan Method of Finding the Inverse.

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bindichen.co.uk

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Arithmetic Mean

http://bindichen.co.uk/post/Fundamentals/arithmetic-mean.html

Research Notes for Developers and Researchers. The Fundamentals - Maths. In mathematics and statistics, the. Or simply the mean or average when the context is clear, is the central tendency of a collection of numbers taken as the sum of the numbers divided by the size of the collection. Suppose we have sample space {a. Then the arithmetic mean A is defined via the equation:. If the list is a statistical population, then the mean of that population is called a.

2

Nonlinear System VS Linear System

http://bindichen.co.uk/post/Fundamentals/Nonlinear-System-VS-Linear-System.html

Research Notes for Developers and Researchers. Nonlinear System VS Linear System. The Fundamentals - Maths. In Mathematics, a linear function f(x) is one which satisfies both of the following properties:. Additivity: f(x y) = f(x) f(y). Homogeneity: f(ax) = af(x).

3

Probability Density Function (PDF)

http://bindichen.co.uk/post/Fundamentals/probability-density-function.html

Research Notes for Developers and Researchers. Probability Density Function (PDF). The Fundamentals - Maths. In probability theory, a probability density function (pdf) (Also known as Probability Distribution Function. The terms Probability Distribution function. Have also sometimes been used to denote the PDF. However, this use is not standard among probability and statisticians. In other sources, Probability Distribution function. Absolutely Continuous Univariate Distributions.

4

Root Mean Squared Error

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Research Notes for Developers and Researchers. Root Mean Squared Error. The Fundamentals - Maths. The Root Mean Square Error (RMSE) or Root Mean Square Deviation (RMSD) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed. RMSE is a good measure of accuracy. These individual differences are also called residuals, and the RMSE serves to aggregate them into a single measure of predictive power. Then, the formula is:.

5

Circular Quantity Mean

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Research Notes for Developers and Researchers. The Fundamentals - Math. In mathematics, a mean of circular quantities. Since the arithmetic mean is not always appropriate for angles, the following method can be used to obtain both a mean value and measure for the variance of the angles:. Convert all angles to corresponding points on the unit circle, e.g.,. The mean is computed by. Using the atan2 variant of the arctangent function. Atan2 is the arcangent function with two arguments.

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bindichen.co.uk

Bindi's Personal Web Space & Research Note

Research Notes for Developers and Researchers. Normal Distribution (Gaussian Distribution). Probability Density Function (PDF). Nonlinear System VS Linear System. Root Mean Square Error. Cartesian coordinate system and Polar coordinate system. Similarity, Dissimilarity and Distance. Radial basis function (RBF). Least Square (Optimisation Algorithm). Gradient Descent (Optimisation Algorithm). Linear Regression using Matrices. Basic of Matrix (Matrix Operations). Gauss-Jordan Method of Finding the Inverse.

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