This presentation discusses the selection sort algorithm. Before writing code students should be able to sort an array on paper and show how the array is reorganized after each iteration of the selection sort algorithm. See my web link below. – – – – – – – – – – – – – – – –
From playlist Java Programming
8 2 Randomized Selection Analysis 21 min
From playlist Algorithms 1
Heap Sort - 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
From playlist Week 3 2015 Shorts
Better played at speeds greater than 1.5x. Thanks to a subscriber for noticing the error in the code and letting me know.
From playlist Sorting Algorithms
Top K Problem Solution - 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
Visual description of the insertion sort algorithm
From playlist Computer Science
Le Song: "A Framework For Differentiable Discovery Of Graph Algorithms"
Deep Learning and Combinatorial Optimization 2021 "A Framework For Differentiable Discovery Of Graph Algorithms" Le Song - Georgia Institute of Technology Abstract: Recently there is a surge of interests in using graph neural networks (GNNs) to learn algorithms. However, these works focu
From playlist Deep Learning and Combinatorial Optimization 2021
Selection Sort | Selection Sort In Data Strcutures | Selection Sort Algorithm | Simplilearn
This video is based on Selection sort Algorithm. This selection sort in data structures tutorial make sure that sorting algorithms explained well to help beginners learn Selection sort. The video also covers practical demo for a better learning experience. This video will cover the follo
From playlist Data Structures & Algorithms
Prim's Algorithm for Minimum Spanning Trees (MST) | Graph Theory
We go over Prim's Algorithm, and how it works to find minimum spanning trees (also called minimum weight spanning trees or minimum cost spanning trees). We'll also see two examples of using Prim's algorithm to find minimum spanning trees in connected weighted graphs. This algorithm is on
From playlist Graph Theory
M. Zadimoghaddam: Randomized Composable Core-sets for Submodular Maximization
Morteza Zadimoghaddam: Randomized Composable Core-sets for Distributed Submodular and Diversity Maximization An effective technique for solving optimization problems over massive data sets is to partition the data into smaller pieces, solve the problem on each piece and compute a represen
From playlist HIM Lectures 2015
DeepMind x UCL RL Lecture Series - Exploration & Control [2/13]
Research Scientist Hado van Hasselt looks at why it's important for learning agents to balance exploring and exploiting acquired knowledge at the same time. Slides: https://dpmd.ai/explorationcontrol Full video lecture series: https://dpmd.ai/DeepMindxUCL21
From playlist Learning resources
Reinforcement Learning 2: Exploration and Exploitation
Hado van Hasselt, Research scientist, further discusses the exploration and exploitation of reinforcement learning as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
From playlist DeepMind x UCL | Reinforcement Learning Course 2018
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
Pandora's Box with Correlations: Learning and Approximation - Shuchi Chawla
Computer Science/Discrete Mathematics Seminar I Topic: Pandora's Box with Correlations: Learning and Approximation Speaker: Shuchi Chawla Affiliation: University of Wisconsin-Madison Date: April 05, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1
The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit
From playlist Introduction to Machine Learning 101
Randomized Greedy Algorithms for the Maximum Matching Problem with New Analysis - Mario Szegedy
Mario Szegedy Rutgers, The State University of New Jersey April 30, 2012 http://math.ias.edu/files/seminars/Szeg.pdf For more videos, visit http://video.ias.edu
From playlist Mathematics