PatterRecognition-C6-Kernel-Methods

Keywords: Gaussian processes, Radial Basis Function Networks, Laplace approximation, Python

PatterRecognition-C5-Neural-Networks

Keywords: Gradient descent optimization, Error backpropagation, Hessian Matrix, Jacobian Matrix, Regularization, Mixture Density Network, Bayesian Neural Network, Python

PatterRecognition-C4-Linear-Models-For-Classification

Keywords: Discriminant Functions, Logistic Regression, Bayesian Logistic Regression, Python

PatterRecognition-C2-Probability-Distributions

Keywords: Gaussian Distribution, The Exponential Family, Python

PatterRecognition-C1-Introduction

Keywords: Bayes’Theorem, Polynomial Curve Fitting, Posterior Probability, Python

Variation-First-Understanding-of-Variation

Keywords: Newbie, Variation

NumericalAnalysis-C13-Optimization

Keywords: Unconstrained Optimization, Mathlab

NumericalAnalysis-C12-Eigenvalues-and-Singular-Values

Keywords: Power Iteration Method, QR Algorithm, SVD(Singular Value Decomposition), Mathlab

NumericalAnalysis-C11-Compression

Keywords: DCT, Image compression, Quantization, Mathlab

NumericalAnalysis-C10-Trigonometric-Interpolation-and-the-FFT

Keywords: Fourier Transform, Trigonometric Interpolation, FFT, Mathlab

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