Evolutionary algorithms | Metaheuristics
In evolutionary computation, Minimum Population Search (MPS) is a computational method that optimizes a problem by iteratively trying to improve a set of candidate solutions with regard to a given measure of quality. It solves a problem by evolving a small population of candidate solutions by means of relatively simple arithmetical operations. MPS is a metaheuristic as it makes few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. For problems where finding the precise global optimum is less important than finding an acceptable local optimum in a fixed amount of time, using a metaheuristic such as MPS may be preferable to alternatives such as brute-force search or gradient descent. MPS is used for multidimensional real-valued functions but does not use the gradient of the problem being optimized, which means MPS does not require for the optimization problem to be differentiable as is required by classic optimization methods such as gradient descent and quasi-newton methods. MPS can therefore also be used on optimization problems that are not even continuous, are noisy, change over time, etc. (Wikipedia).
#21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch
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From playlist Statistics Final Exam
This video shows how to find the range for a given set of data. Remember to take the maximum value and subtract the minimum value. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
Maximum and Minimum Values (Closed interval method)
A review of techniques for finding local and absolute extremes, including an application of the closed interval method
From playlist 241Fall13Ex3
Find the Minimum and Maximum Usual Values
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From playlist Statistics
Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table
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From playlist Statistics
#16. Find the Relative Minimum from the Graph
#16. Find the Relative Minimum from the Graph
From playlist College Algebra Final Exam Playlist (Version 2)
How to find a sample size using a variety of techniques: 0:00 Overview 0:17 Census 1:25 Literature Review 1:46 Tables 3:08 Cochran's Formula 4:24 Yamane's Formula 7:10 Formula for Sample Mean
From playlist Find Sample Size
Binary Genetic Algorithm - Part 1: Introduction
This video is about Binary Genetic Algorithm - Part 1: Introduction
From playlist Optimization
This is Lecture 22 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture22.pdf More inf
From playlist CSE549 - Computational Biology - 2010 SBU
Binary Genetic Algorithm - Part 6: Stopping Criteria, Performance Evaluation and Benchmark Functions
This video is about Binary Genetic Algorithm - Part 6: Stopping Criteria, Performance Evaluation and Benchmark Functions
From playlist Optimization
Particle Swarm Optimization - Part 3: Local Best PSO
This video is about Particle Swarm Optimization - Part 3: Local Best PSO
From playlist Optimization
Introduction to Sampling & Populations (1 of 4: Graphing the sample means)
More resources available at www.misterwootube.com
From playlist Data Analysis
Tableau Functions Tutorial | Tableau Functions With Examples | Tableau Training | Edureka
(** Tableau Certification Training: https://www.edureka.co/tableau-certification-training **) Tableau can create interactive visualizations customized for the target audience. In this "Tableau Functions" tutorial from Edureka, you will learn about the various function and their calculation
From playlist Tableau Training Videos | Tableau Tutorial Videos | Data Visualisation using Tableau | Edureka
Tableau Functions Tutorial For Beginners | Tableau Training | Edureka | Tableau Rewind - 5
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/tableau-certification-training Tableau can create interactive visualizations customized for the target audience. In this "Tableau Functions" tutorial from Edureka, you will learn about the various funct
From playlist Tableau Training Videos | Tableau Tutorial Videos | Data Visualisation using Tableau | Edureka
13 3 Binary Search Tree Basics, Part II 30 min
From playlist Algorithms 1
Data Science - Part XIV - Genetic Algorithms
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on biological evolution and genetic algorithms in a machine learning context. W
From playlist Data Science
Hypothesis Test: Two Population Proportions
This video explains how to conduct a hypothesis test on two population proportions. http://mathispower4u.com
From playlist Hypothesis Test with Two Samples
Particle Swarm Optimization (PSO) - Part 1: Introduction
This video is about Particle Swarm Optimization (PSO) - Part 1: Introduction
From playlist Optimization