9.1: Genetic Algorithm: Introduction - The Nature of Code
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. 🎥 Next
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
9.10: Genetic Algorithm: Continuous Evolutionary System - The Nature of Code
In this video, I apply the Genetic Algorithm to an "Ecosystem Simulation", a system in which models biological life more closely, where elements live and die continuously evolving over time. 💻Code : https://github.com/CodingTrain/Rainbow-Code 🎥Previous video : https://youtu.be/Zy_obitkyO
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Binary Genetic Algorithm - Part 2: Working Principle and Coding/Encoding Processes
This video is about Binary Genetic Algorithm - Part 2: Working Principle and Coding/Encoding Processes
From playlist Optimization
9.2: Genetic Algorithm: How it works - The Nature of Code
In part 2 of this genetic algorithm series, I explain how the concepts behind Darwinian Natural Selection are applied to a computational evolutionary algorithm. 🎥 Previous video: https://youtu.be/9zfeTw-uFCw?list=RxTfc4JLYKs&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV 🎥 Next video: https://yo
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
Binary Genetic Algorithm - Part 1: Introduction
This video is about Binary Genetic Algorithm - Part 1: Introduction
From playlist Optimization
2. Basic Transmission Genetics
Principles of Evolution, Ecology and Behavior (EEB 122) Genetic transmission is the mechanism that drives evolution. DNA encodes all the information necessary to make an organism. Every organism's DNA is made of the same basic parts, arranged in different orders. DNA is divided into chr
From playlist Evolution, Ecology and Behavior with Stephen C. Stearns
Teach Astronomy - Mutation and Evolution
http://www.teachastronomy.com/ Natural selection operates at the level of species interacting with their environment. At the microscopic level, DNA copies itself, a mechanism that is generally extremely efficient and effective, but its not perfect. The human cell copies the entire inform
From playlist 25. Early Earth and Life Processes
Evolutionary Genetics in the Crush of Genomics
Charles H. Langley, UC Davis Simons Institute Open Lectures http://simons.berkeley.edu/events/openlectures2014-spring-3
From playlist Simons Institute Berkeley
This webinar organized by IFMSA-Kurdistan on 13/8/2020 Timestamps: 4:23 - Brain 16:36 - Learning 21:50 - Genetic Algorithm 30:00 - Machine Learning 46:19 - Intelligence 58:00 - Questions Is intelligence inherited or can we actively change its dimensions? What are different theories of int
From playlist Webinar with med. students
DNA graffiti: mutation patterns in cancer | The Royal Society
human cancers are highly individual. Etched into the DNA of cancers are graffiti-like mutation patterns, which could reveal underlying biological abnormalities, unique to each person’s cancer, with potential for application in precision medicine. In this lecture, Professor Serena Nik-Zai
From playlist Latest talks and lectures
Kuang Xu: How to make (and keep) genetic data private
An expert in genetic privacy says there’s a fine line between one’s right to know and another’s right to not know. One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insigh
From playlist The Future of Everything
Alison Etheridge & Nick Barton: Applying the infinitesimal model
The infinitesimal model is based on the assumption that, conditional on the pedigree, the joint distribution of trait values is multivariate normal, then, selecting parents does not alter the variance amongst offspring. We explain how the infinitesimal model extends to include dominance as
From playlist Probability and Statistics
Matthew Schofield - Genetic maps from genotype-by-sequencing data
Matthew Schofield (University of Otago) presents "Genetic maps from genotype-by-sequencing data", 5 June 2020.
From playlist Statistics Across Campuses
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
Chiara Sabatti: Knockoff genotypes: value in counterfeit
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 05, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Stanford Course - Fundamentals of Genetics: The Genetics You Need to Know
Preview the online course: Fundamentals of Genetics: The Genetics You Need to Know (XGEN101) More info: http://geneticscertificate.stanford.edu/courses/fundamentals-of-genetics.php This course provides a stair-step introduction of genetics from the basic concepts to exploring more complex
From playlist Genetics & Genomics