GitHub - researcherofreality/Machine_Learning: Python Notebooks implementing several Machine Learning algorithms, following MacKay and Bishop

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Python Notebooks implementing several Machine Learning algorithms, following MacKay and Bishop

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Name		Name	Last commit message	Last commit date
Gaussian_Modelling.ipynb		Gaussian_Modelling.ipynb
Gradient_Descent.ipynb		Gradient_Descent.ipynb
Gradient_Descent_Extensive.ipynb		Gradient_Descent_Extensive.ipynb
Intro_to_NN.ipynb		Intro_to_NN.ipynb
More_Gradient_Descent.ipynb		More_Gradient_Descent.ipynb
Multinomial_Mixture_Model.ipynb		Multinomial_Mixture_Model.ipynb
Perceptron_Capacity.ipynb		Perceptron_Capacity.ipynb
Poisson_Laser_Gaussian_Approximation.ipynb		Poisson_Laser_Gaussian_Approximation.ipynb
Polynomial_Fitting.ipynb		Polynomial_Fitting.ipynb
importance_sampling.ipynb		importance_sampling.ipynb
laplace_approx_bayesian_posterior.ipynb		laplace_approx_bayesian_posterior.ipynb
replica_SK.ipynb		replica_SK.ipynb

Python Notebooks implementing several Machine Learning algorithms, following MacKay and Bishop

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1 watching