Particle Swarm Optimization (PSO) - Part 1: Introduction
This video is about Particle Swarm Optimization (PSO) - Part 1: Introduction
From playlist Optimization
SEO For Beginners: A Basic Search Engine Optimization Tutorial for Higher Google Rankings
New to SEO? This tutorial shows you the basics of doing search engine optimization for your website to rank high in Google. Complete SEO Course for Beginners: Learn to Rank #1 in Google ► https://www.youtube.com/watch?v=xsVTqzratPs First, what is SEO and how does it work? SEO stands fo
From playlist SEO Tutorials for Beginners: Learn Search Engine Optimization Step-By-Step
Discrete multi-fidelity optimization
This video is #9 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on discrete multi-fidelity optimization. In discrete multi-fidelity optimization, t
From playlist Optimization tutorial
What Is Mathematical Optimization?
A gentle and visual introduction to the topic of Convex Optimization. (1/3) This video is the first of a series of three. The plan is as follows: Part 1: What is (Mathematical) Optimization? (https://youtu.be/AM6BY4btj-M) Part 2: Convexity and the Principle of (Lagrangian) Duality (
From playlist Convex Optimization
A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.
From playlist Optimization
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Critical Thinking
What in the world is a linear program?
What is a linear program and why do we care? Today I’m going to introduce you to the exciting world of optimization, which is the mathematical field of maximizing or minimizing an objective function subject to constraints. The most fundamental topic in optimization is linear programming,
From playlist Summer of Math Exposition 2 videos
Continuous multi-fidelity optimization
This video is #8 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on continuous multifidelity optimization. Continuous multi-fidelity optimization is
From playlist Optimization tutorial
Are We Born Optimistic? Or Is It a Coping Skill We Learn as Adults? | Lori Markson | Big Think
Are We Born Optimistic? Or Is It a Coping Skill We Learn as Adults? New videos DAILY: https://bigth.ink Join Big Think Edge for exclusive video lessons from top thinkers and doers: https://bigth.ink/Edge ---------------------------------------------------------------------------------- The
From playlist Best Videos | Big Think
Stress management | Processing the Environment | MCAT | Khan Academy
Created by Ryan Scott Patton. Missed the previous lesson? https://www.khanacademy.org/test-prep/mcat/processing-the-environment/stress/v/behavioral-effects-of-stress?utm_source=YT&utm_medium=Desc&utm_campaign=mcat MCAT on Khan Academy: Go ahead and practice some passage-based questions!
From playlist Processing the environment | MCAT | Khan Academy
Pierre-Yves Oudeyer - Developmental AI: machines that learn like children
Current approaches to Al and machine learning are still fundamentally limited in comparison with the amazing learning capabilities of children. What is remarkable is not that some children become world champions in certain games or specialties: it is rather their autonomy, open-endedness,
From playlist LSC 2022
Speaker: Sandro Gaycken The Accessibility of Technology as an Addendum to Engineering Ethics in the Knowledgeable Society Civil disobedience is a fundamental human right in all democracies, and it has to be accessible for everyone. This includes the accessibility of politically laden
From playlist 23C3: Who can you trust
How can machines and humans come together to achieve new feats? Subscribe for regular science videos: http://bit.ly/RiSubscRibe Technology is becoming more and more advanced but cannot prosper on its own, the human brain and the experience that humans have is not easily taught, from remov
From playlist Ri Talks
People-centric AI for the built environment: Burcin Becerik-Gerber, USC
Speaker: Burcin Becerik-Gerber (University of Southern California, US) With the recent advancements in data science and artificial intelligence, we will soon have different experiences with our built environments. This inevitable change will impact our everyday experiences, causing novel
From playlist Data-Centric Engineering Seminar Series
The term “bounded rationality” was introduced by Nobel laureate Herbert Simon who asked, how do human beings reason when the conditions for rationality postulated by neoclassical economics theory are not met?” In this talk at the Summer Institute for Bounded Rationality 2014, Gerd Gigerenz
From playlist Most popular videos
On theories in mathematics education and their conceptual differences – Luis Radford – ICM2018
Mathematics Education and Popularization of Mathematics Invited Lecture 18.1 On theories in mathematics education and their conceptual differences Luis Radford Abstract: In this article I discuss some theories in mathematics education research. My goal is to highlight some of their diffe
From playlist Mathematics Education and Popularization of Mathematics
9. Energy Use by Individuals and Households
MIT 15.031J Energy Decisions, Markets, and Policies, Spring 2012 View the complete course: http://ocw.mit.edu/15-031JS12 Instructor: Susan Silbey License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 15.031J Energy Decisions, Markets, Policies, Spring 2012
R - Binary Logistic Multilevel Models
Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology Fall 2019 This video covers binary logistic regression + multilevel models in R using glmer and the lme4 package. I cover an example of a project that our research lab has under review. We talk about assumption
From playlist Advanced Statistics Videos
Vianney Perchet - Highly-Smooth Zero-th Order Online Optimization
We consider online convex optimization with noisy zero-th order information, that is noisy function evaluations at any desired point. We focus on problems with high degrees of smoothness, such as online logistic regression. We show that as opposed to g
From playlist Schlumberger workshop - Computational and statistical trade-offs in learning