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
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
9.10: 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
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
Binary Genetic Algorithm - Part 1: Introduction
This video is about Binary Genetic Algorithm - Part 1: Introduction
From playlist Optimization
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
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
Introduction to Multiobjective Genetic Algorithms and Applications by Anirban Mukhopadyay
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Multi-agent modelling in Complex Socio-economical Systems by Anirban Chakraborti
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
New Religions of the 21st Century | Yuval Harari | Talks at Google
Techno-Religions and Silicon Prophets: Will the 21st century be shaped by hi-tech gurus or by religious zealots – or are they the same thing? What is the current status of religions and ideologies in the world, and what will be the likely impact of 21st-century technological breakthroughs
From playlist Business lectures
The Algorithmic Lens: How the Computational Perspective by Christos H Papadimitriou
ICTS at Ten ORGANIZERS: Rajesh Gopakumar and Spenta R. Wadia DATE: 04 January 2018 to 06 January 2018 VENUE: International Centre for Theoretical Sciences, Bengaluru This is the tenth year of ICTS-TIFR since it came into existence on 2nd August 2007. ICTS has now grown to have more tha
From playlist ICTS at Ten
An Introduction to Genetic Algorithms: Method and Implementation (Lecture 2) by Anirban Mukhopadyay
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Genetic Algorithms by Ujjwal Maulik
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
An Introduction to Genetic Algorithms: Method and Implementation (Lecture 1) by Anirban Mukhopadyay
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
my first attempt at a genetic algorithm -- Watch live at https://www.twitch.tv/simuleios
From playlist Genetic Algorithms!
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 1A Why do we need machine learning? 1B What are neural networks? 1C Some simple models of neurons 1D A simple example of learning 1E Three types of learning
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Muin Khoury on Precision Public Health in the Era of Precision Medicine
Muin J. Khoury MD, PhD, from the CDC Office of Public Health Genomics, delivers the keynote address at the 2015 Stanford Center for Population Health Sciences Annual Colloquium. He discusses some of the challenges of precision medicine, including how your zip code is more important for you
From playlist Stanford Population Health Sciences
AI: where science meets science fiction
Blade Runner, Siri and sexbots From Blade Runner, Siri and sexbots, to the writings of Jules Verne, HG Wells and Asimov’s I, Robot, it can feel like the lines between science and science fiction are becoming increasingly blurred. How far away is modern tech from catching up with visions
From playlist AI at the Turing
9.9: Genetic Algorithm: Interactive Selection - The Nature of Code
In this genetic algorithms video, I discuss a technique known as "interactive selection" where the algorithm's fitness function is calculated based on user / viewer interaction. 💻Code : https://github.com/CodingTrain/Rainbow-Code 🎥Previous video : https://youtu.be/ETphJASzYes 🎥Next video
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning