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Udemy - Introduction To Monte Carlo Methods
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[ FreeCourseWeb.com ] Introduction to Monte Carlo Methods
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Created by Jonathan Navarrete | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 04:45 H/M | Lec: 31 | 1.15 GB | Language: English | Sub: English [Auto-generated]
Statistical Computation, MCMC and Bayesian Statistics
What you'll learn
Apply MCMC to Statistical Modeling
Greater understanding of statistical methods for simulation
How to write code in R or Python
How to perform nonparametric bootstrap
Apply optimization techniques to solve numerical and combinatorial problems
At the end of this course you will learn how to apply Monte Carlo methods to Bayesian problems for data analysis
Build genetic algorithms
Requirements
You should have some experience with R or Python
This course is ideally meant for students in a graduate degree program (i.e. math, statistics, electrical engineering)
If you don't have a solid background with statistics, you should at least be willing to learn
You should have a basic understanding of mathematical statistics and desire to apply Monte Carlo methods
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
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