A Few Conceptual Examples with Statistical Graphs
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From playlist Statistics
What are Connected Graphs? | Graph Theory
What is a connected graph in graph theory? That is the subject of today's math lesson! A connected graph is a graph in which every pair of vertices is connected, which means there exists a path in the graph with those vertices as endpoints. We can think of it this way: if, by traveling acr
From playlist Graph Theory
Graph Theory FAQs: 01. More General Graph Definition
In video 02: Definition of a Graph, we defined a (simple) graph as a set of vertices together with a set of edges where the edges are 2-subsets of the vertex set. Notice that this definition does not allow for multiple edges or loops. In general on this channel, we have been discussing o
From playlist Graph Theory FAQs
Discrete Math - 10.1.1 Introduction to Graphs
A brief introduction to graphs including some terminology and discussion of types of graphs and their properties. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
What are Cycle Graphs? | Graph Theory, Graph Cycles, Cyclic Graphs
What are cycle graphs? We have talked before about graph cycles, which refers to a way of moving through a graph, but a cycle graph is slightly different. A cycle graph is what you would get if you took the vertices and edges of a graph cycle. We can think of cycle graphs as being path gra
From playlist Graph Theory
What is a Path Graph? | Graph Theory
What is a path graph? We have previously discussed paths as being ways of moving through graphs without repeating vertices or edges, but today we can also talk about paths as being graphs themselves, and that is the topic of today's math lesson! A path graph is a graph whose vertices can
From playlist Graph Theory
Tree Graphs - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Overview of Loops in Graph Theory | Graph Loop, Multigraphs, Pseudographs
What are loops in graph theory? Sometimes called self loops, a loop in a graph is an edge that connects a vertex to itself. These are not allowed in what are often called "simple graphs", which are the graphs we usually study when we begin studying graph theory. In simple graphs, loop ed
From playlist Graph Theory
What is a Graph Cycle? | Graph Theory, Cycles, Cyclic Graphs, Simple Cycles
What is a graph cycle? In graph theory, a cycle is a way of moving through a graph. We can think of a cycle as being a sequence of vertices in a graph, such that consecutive vertices are adjacent, and all vertices are distinct except for the first and last vertex, which are required to be
From playlist Graph Theory
Consequences of continuity... and asymptotes -- Calculus I
This lecture is on Calculus I. It follows Part I of the book Calculus Illustrated by Peter Saveliev. The text of the book can be found at http://calculus123.com.
From playlist Calculus I
RubyConf 2022: scip-ruby - A Ruby indexer built with Sorbet by Varun Gandhi
scip-ruby is an open source indexer that lets you browse Ruby code online, with IDE functionality like “Go to definition” and “Find usages”. We originally built scip-ruby to improve Ruby support in Sourcegraph, a code intelligence platform. In this talk, you will learn how we built scip-ru
From playlist RubyConf 2022: Mini and Houston
Vinod Nair: "Solving Mixed Integer Programs Using Neural Networks"
Deep Learning and Combinatorial Optimization 2021 "Solving Mixed Integer Programs Using Neural Networks" Vinod Nair - DeepMind Technologies Abstract: Mixed integer programming (MIP) solvers employ many heuristics to solve large-scale instances that are encountered in practice. However, t
From playlist Deep Learning and Combinatorial Optimization 2021
Diego Klabjan: The Role of Knowledge Graphs in Insurance
This lecture was a part of the 8ECM Satellite Event - Optimization in Insurance.
From playlist 8ECM Satellite Event - Optimization in Insurance
Embedding Graphs with Deep Learning
This video explains how to Embed Graphs with Deep Learning. This includes showing the difference between Matrix Decomposition and Deep learning methods as well. Thanks for watching! www.henryailabs.com
From playlist Deep Learning on Graphs
AMMI Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 6: General attributed graphs •
From playlist AMMI Geometric Deep Learning Course - First Edition (2021)
R9. Approximation Algorithms: Traveling Salesman Problem
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Amartya Shankha Biswas In this recitation, problems related to approximation algorithms are discussed, namely the traveling salesman problem. License: Creative Com
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015
Introduction to Limits (NancyPi)
MIT grad shows what a limit is, how to read the notation, what it means on a graph and how to find the limit on a graph. To skip ahead: 1) For how to understand limit NOTATION and the CONCEPT of the limit, skip to time 0:34. 2) For WHICH WAY TO LOOK AT THE GRAPH to find the limit, includin
From playlist Calculus: Limits
From playlist Lufkin HS Algebra 1
What is a Walk? | Graph Theory
What is a walk in the context of graph theory? That is the subject of today's math lesson! A walk in a graph G can be thought of as a way of moving through G, where you start at any vertex in the graph, and then move to other vertices through the edges in the graph. In a walk, you are allo
From playlist Graph Theory
Applied Machine Learning 2019 - Lecture 22 - Advanced Neural Networks
Residual Networks, DenseNet, Recurrent Neural Networks. Slides and materials on the course website: https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/
From playlist Applied Machine Learning - Spring 2019