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[ DevCourseWeb.com ] Udemy - Introduction to Monte Carlo Methods

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/

Get Bonus Downloads Here.url

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/1 - Introduction/

1 -0_Set_up.html

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1 -Setting up.en_US.vtt

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1 -Setting up.mp4

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2 -Setting up Jupyter Notebooks.en_US.vtt

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2 -Setting up Jupyter Notebooks.mp4

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3 -Review.en_US.vtt

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3 -Review.html

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3 -Review.mp4

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3 -Table of Common Distributions.pdf

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4 -1_Introduction.html

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4 -Introduction to Monte Carlo Methods.en_US.vtt

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4 -Introduction to Monte Carlo Methods.mp4

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4 -Introduction_ Monte Carlo Methods.pdf

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5 - Introduction to Monte Carlo Simulation.html

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5 -nihms219206.pdf

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/1 - Introduction/UdemyMCMC/Bootstrap/

4 Intro to Bootstrap-script.R

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4 Intro to Bootstrap.Rmd

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/1 - Introduction/UdemyMCMC/Bootstrap/notebook/

4 Bootstrap.ipynb

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mtcars.csv

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4 Bootstrap-checkpoint.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 1/

1 Introduction-script.R

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1 Introduction.Rmd

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/1 - Introduction/UdemyMCMC/Moduel 1/notebook/

1 Introduction.ipynb

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1 Introduction-checkpoint.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 2/

2 Generating Random Variables-script.R

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2 Generating Random Variables.Rmd

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2_Generating_Random_Variables.html

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/1 - Introduction/UdemyMCMC/Moduel 2/notebook/

2 Generating Random Variables.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 3/

3 Monte Carlo Integration-script.R

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3 Monte Carlo Integration.Rmd

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3_Monte_Carlo_Integration.html

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/1 - Introduction/UdemyMCMC/Moduel 3/notebook/

3 Monte Carlo Integration.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 4/

4 Controlling and Accelerating Convergence-script.R

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4 Controlling and Monitoring Convergence.Rmd

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4_Controlling_and_Monitoring_Convergence.html

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4 Controlling and Accelerating Convergence.ipynb

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4 Controlling and Accelerating Convergence-checkpoint.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 5/

5 MC EM Algorithm.Rmd

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5 MC EM-script.R

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5_MC_EM_Algorithm.html

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5 Monte Carlo EM.ipynb

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5 Monte Carlo EM-checkpoint.ipynb

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/1 - Introduction/UdemyMCMC/Moduel 6/

6 Intro to Markov Chains.Rmd

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6 Metropolis-Hastings Algorithms.Rmd

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6 Metropolis-Hastings-script.R

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6_Intro_to_Markov_Chains.html

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6_Metropolis-Hastings_Algorithms.html

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6 Metropolis Hastings Algorithm.ipynb

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6 Metropolis Hastings Algorithm-checkpoint.ipynb

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7 Gibbs Sampler-script.R

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7 Gibbs Samplers.Rmd

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7 Gibbs Samplers.ipynb

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7 Gibbs Samplers-checkpoint.ipynb

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/.../2 - Generating Random Variables/

1 -2_Generating_Random_Variables.html

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1 -Generating Random Variables.pdf

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1 -Uniform Random Variables.en_US.vtt

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1 -Uniform Random Variables.mp4

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2 -Transformation Methods.en_US.vtt

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2 -Transformation Methods.mp4

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3 -Inverse Transform Method.en_US.vtt

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3 -Inverse Transform Method.mp4

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4 -Accept-Reject Method.en_US.vtt

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4 -Accept-Reject Method.mp4

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/.../3 - Monte Carlo Integration/

1 -3_Monte_Carlo_Integration.html

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1 -Monte Carlo Integration.pdf

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1 -Simple Monte Carlo Integration.en_US.vtt

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1 -Simple Monte Carlo Integration.mp4

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2 -Calculating Tail Probabilities.en_US.vtt

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2 -Calculating Tail Probabilities.mp4

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3 -Importance Sampling.en_US.vtt

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3 -Importance Sampling.mp4

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4 -Importance Sampling Examples.en_US.vtt

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4 -Importance Sampling Examples.mp4

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/.../4 - Variance Estimation and Acceleration/

1 -4_Intro_to_Bootstrap.html

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1 -Intro to Bootstrap.en_US.vtt

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1 -Intro to Bootstrap.mp4

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2 -Paired Bootstrap Example.en_US.vtt

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2 -Paired Bootstrap Example.mp4

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3 -4+Controlling+and+Accelerating+Convergence.html

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3 -4_Controlling_and_Monitoring_Convergence.html

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3 -Monitoring Convergence.en_US.vtt

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3 -Monitoring Convergence.mp4

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4 -Antithetic Variables.en_US.vtt

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4 -Antithetic Variables.mp4

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5 -Exercise.en_US.vtt

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/5 - Optimization/

1 -Optimization with Simulated Annealing.en_US.vtt

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1 -Optimization with Simulated Annealing.mp4

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2 -06767727.pdf

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2 -Traveling Salesman Problem Simulated Annealing Solution.en_US.vtt

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2 -Traveling Salesman Problem Simulated Annealing Solution.mp4

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3 -Genetic Algorithms.en_US.vtt

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3 -Genetic Algorithms.mp4

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4 -TSP Genetic Algorithm.en_US.vtt

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4 -TSP Genetic Algorithm.mp4

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5 -TSP Genetic Algorithm with Crossover.en_US.vtt

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5 -TSP Genetic Algorithm with Crossover.mp4

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GA-Optimization-Example.py

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GA-TSP-Solution-Crossover.py

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GA-TSP-Solution.py

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Optimization - Genetic Algorithms.ipynb

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Optimization - Simulated Annealing Algorithm.ipynb

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TSP GA Solution-Crossover.ipynb

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TSP GA Solution.ipynb

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TSP Simulated Annealing Algorithm Solution.ipynb

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/6 - Expectation Maximization/

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1 -EM Algorithm.en_US.vtt

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1 -EM Algorithm.mp4

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1 -Monte Carlo EM.pdf

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2 -Monte Carlo EM.en_US.vtt

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/.../7 - MCMC and Metropolis Hastings/

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1 -Introduction to Markov Chains for MCMC.pdf

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1 -Markov Chains part 1.en_US.vtt

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1 -Markov Chains part 1.mp4

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2 -Markov Chains part 2.en_US.vtt

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2 -Markov Chains part 2.mp4

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3 -6_Metropolis-Hastings_Algorithms.html

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3 -Metropolis Hastings algorithms.en_US.vtt

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3 -Metropolis Hastings algorithms.mp4

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3 -Metropolis Hastings.pdf

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4 -Bayesian Logistic Regression.en_US.vtt

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4 -Bayesian Logistic Regression.mp4

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4 -Bayesian Reanalysis of the Challenger O-Ring Data.pdf

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4 -MH_O-Ring_Example.html

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4 -farawaychapt2.pdf

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/8 - Gibbs Samplers/

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1 -Gibbs Sampler algorithm.en_US.vtt

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1 -Gibbs Sampler algorithm.mp4

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1 -Gibbs Samplers.pdf

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2 -Bayesian Change Point Analysis.en_US.vtt

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2 -Bayesian Change Point Analysis.mp4

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2 -Hierarchical Bayesian Analysis of changepoint problems bayes_changepoint_poisson_1.pdf

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/~Get Your Files Here !/

Bonus Resources.txt

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Total files 302


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