Pairwise sorting network

Merge Sort 1 – The Algorithm

This is the first in a series of videos about the merge sort. It describes the principle of the merge sort algorithm, which takes a ‘divide and conquer’ approach to the problem of sorting and unordered list. The videos that follow build on these principles, leading towards a recursive im

From playlist Sorting Algorithms

Merge Sort 4 – Towards an Implementation (Recursive Function)

This is the fourth in a series of videos about the merge sort. It includes a description of some pseudocode which combines into a single recursive function a helper program for splitting a list, and a helper program for merging a pair of ordered lists. This video describes how successive

From playlist Sorting Algorithms

Discrete Math - 3.1.3 Sorting Algorithms

Bubble sort and insertion sort algorithms. 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)

Merge Sort 2 – Towards an Implementation (Split a List)

This is the second in a series of videos about the merge sort. It includes a description of an algorithm and pseudocode for taking an unordered list and splitting it into two separate unordered lists. The videos that follow build on these principles, leading towards a recursive implement

From playlist Sorting Algorithms

Merge Sort 3 – Towards an Implementation (Merge Two Lists)

This is the third in a series of videos about the merge sort. It includes a description of an algorithm and pseudocode for merging together two ordered lists into a single ordered list. The videos that follow build on these principles, leading towards a recursive implementation of a merg

From playlist Sorting Algorithms

Grid Network - 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

Searching and Sorting Algorithms (part 3 of 4)

Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org

From playlist Searching and Sorting Algorithms

Preference Modeling with Context-Dependent Salient Features - Laura Balzano

Seminar on Theoretical Machine Learning Topic: Preference Modeling with Context-Dependent Salient Features Speaker: Laura Balzano Affiliation: University of Michigan; Member, School of Mathematics Date: February 27, 2020 For more video please visit http://video.ias.edu

From playlist Mathematics

Nando de Freitas Lecture 3

Machine Learning Summer School 2014 in Pittsburgh http://www.mlss2014.com See the website for more videos and slides. Nando de Freitas Lecture 3

From playlist Talks and tutorials

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

Quicksort 2 – Alternative Algorithm

This video describes the principle of the quicksort, which takes a ‘divide and conquer’ approach to the problem of sorting an unordered list. In this particular algorithm, the approach to partitioning a list does not rely on the explicit nomination of a pivot value, but still makes use of

From playlist Sorting Algorithms

Systems ecology by Jeff Gore

Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S

From playlist Winter School on Quantitative Systems Biology

Hubert Wagner (8/17/22): Topological data analysis in non-Euclidean spaces

Many types of data are best modelled with non-Euclidean spaces -- or even non-metric ones. In this talk I will focus on techniques that enable usage of existing TDA tools in the above contexts. I will also highlight some important caveats. Finally, as an example I will discuss a recent suc

From playlist AATRN 2022

DeepMind's AlphaFold 2 Explained! AI Breakthrough in Protein Folding! What we know (& what we don't)

#deepmind #biology #ai This is Biology's AlexNet moment! DeepMind solves a 50-year old problem in Protein Folding Prediction. AlphaFold 2 improves over DeepMind's 2018 AlphaFold system with a new architecture and massively outperforms all competition. In this Video, we take a look at how

From playlist Papers Explained

DSI | Hypergraphs and Topology for Data Science | By Emilie Purvine

Data scientists and applied mathematicians must grapple with complex data when analyzing complex systems. Analytical methods almost always represent phenomena as a much simpler level than the complex structure or dynamics inherent in systems, through either simpler measured or sampled data

From playlist DSI Virtual Seminar Series

Efficient Differentially Private Averaging w Trusted Curator Utility Robustness to Malicious Parties

A Google TechTalk, 2020/7/30, presented by Aurélien Bellet, INRIA ABSTRACT: Learning from data owned by several parties, as in federated learning, raises challenges regarding the privacy guarantees provided to participants and the correctness of the computation in the presence of maliciou

From playlist 2020 Google Workshop on Federated Learning and Analytics

Emilie Purvine (3/3/23): Applied Topology for Discrete Structures

Discrete structures have a long history of use in applied mathematics. Graphs and hypergraphs provide models of social networks, biological systems, academic collaborations, and much more. Network science, and more recently hypernetwork science, have been used to great effect in analyzing

From playlist Vietoris-Rips Seminar

KRACK Attack - Proof Of Concept

Hey guys! HackerSploit here back again with another video, in this video I will be demonstrating the KRACK Attack Proof of Concept on Android/Linux devices. Links: https://github.com/vanhoefm/krackattacks-scripts ⭐Help Support HackerSploit by using the following links: 🔗 NordVPN: https:/

From playlist Ethical Hacking & Penetration Testing - Complete Course

Cell Learning Theory - Seminar 2 - On AlphaFold

This seminar series is about computation and learning in cell. In this seminar David Li talks about AlphaFold, a neural network engineered by DeepMind to predict folding of proteins. The webpage for this seminar is https://metauni.org/posts/events/seminar-clt. You can join this seminar

From playlist Metauni

Quicksort 3 – Recursive Pseudocode

This video describes the workings of a recursive quicksort, which takes a ‘divide and conquer’ approach to the problem of sorting an unordered list. It follows on from previous quicksort videos that covered algorithms for partitioning a list. Line by line, this video examines the executi

From playlist Sorting Algorithms