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
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
Shuji Kawaguchi - Development of an AI-assisted algorithm...
Development of an AI-assisted algorithm for the prediction of novel causal genes and variants for mendelian disorders from whole genome sequencing Advances in DNA sequencing technologies have now enabled the rapid and cost-efficient identification of casual genes and variants for a number
From playlist From Molecules and Cells to Human Health : Ideas and concepts
Machine Learning Control: Genetic Algorithms
This lecture provides an overview of genetic algorithms, which can be used to tune the parameters of a control law. Machine Learning Control T. Duriez, S. L. Brunton, and B. R. Noack https://www.springer.com/us/book/9783319406237 Closed-Loop Turbulence Control: Progress and Challenges
From playlist Data-Driven Control with Machine Learning
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
Lecture: Linear Programming and Genetic Algorithms
We consider a number of more advanced optimization algorithms that include the genetic algorithm and linear programming for constrained optimization.
From playlist Beginning Scientific Computing
9.5: Genetic Algorithm: Fitness, Genotype vs Phenotype - The Nature of Code
In part 5 of my genetic algorithm series I discuss how you can adapt the algorithm for your own creative project. The key pieces are designing and implementing a custom "fitness function" as well as how you choose to encode your DNA (genotype vs phenotype). https://thecodingtrain.com/more/
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
John Novembre - Addressing challenges from next generation sequencing
PROGRAM: School and Discussion Meeting on Population Genetics and Evolution PROGRAM LINK: http://www.icts.res.in/program/PGE2014 DATES: Saturday 15 Feb, 2014 - Monday 24 Feb, 2014 VENUE: Physics Auditorium, IISc, Bangalore Just as evolution is central to our understanding of biology, p
From playlist School and Discussion Meeting on Population Genetics and Evolution
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
The Master Algorithm | Pedro Domingos | Talks at Google
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and getting presidents elected. But there is a push to use machine learning to do even more—to cure cancer and AIDS and possibly solve ev
From playlist AI talks
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
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
AI against Censorship: Genetic Algorithms, The Geneva Project, ML in Security, and more!
#security #censorship #ai Most of us conceive the internet as a free and open space where we are able to send traffic between any two nodes, but for large parts of the world this is not the case. Entire nations have large machinery in place to survey all internet traffic and automated pro
From playlist Papers Explained
Genes, Patents, and Race: The History of Science as a Bridge Between Disciplines
https://www.ias.edu/events/publiclecture-october2018 More videos on http://video.ias.edu
From playlist Historical Studies
Carlos Bustamante: "Interpreting Human Variation in the Personal Genome Era"
Computational Genomics Summer Institute 2016 "Interpreting Human Variation in the Personal Genome Era" Carlos Bustamante, Stanford University Institute for Pure and Applied Mathematics, UCLA July 18, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2016
Big data, AI, the genome, and everything (sponsored by Microsoft) Vijay Narayanan (Microsoft)
The secret of life lies in our DNA. From Mendel to discovering the double helix structure of the DNA to decoding Chromosone 22 to the completion of the Human Genome Project, innovations in the field of molecular biology and genetics have empowered humanity with great powers to change and s
From playlist Strata + Hadoop World 2017 - San Jose, California
Live Stream #52: Genetic Algorithms
This entire Live Stream is dedicated to Genetic Algorithms! I cover what defines a genetic algorithm and how it relates to brute force algorithms. I also use a genetic algorithm to solve the Shakespeare Monkey problem and other programming challenges. 16:45 - Presenting today's topics 35:
From playlist Live Stream Archive
Automated Design Using Darwinian Evolution and Genetic Programming
(February 18, 2009) John Koza describes an automated "What You Want Is What You Get" process for designing complex structures based on the principles of natural selection, sexual recombination, and developmental biology. Stanford University: http://www.stanford.edu/ Stanford School of En
From playlist Engineering