Fundamental concepts of prime numbers are discussed. Fermat's & Euler's Theorems are explained. Testing for primality is Analyzed. Chinese Remainder Theorem is presented.
From playlist Network Security
Introduction to SNA. Lecture 1. Introduction to Network Science
Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture1.pdf Introduction to network science. Examples.
From playlist Introduction to SNA
Basic Concepts in Number Theory & Finite Fields: Part 1
It covers Euclid's Algorithm, Euclid's Algorithm: Tabular Method, Modular Arithmetic, Modular Arithmetic Operations, Modular Arithmetic Properties, Group, Cyclic Group, Ring, Field, Finite Fields or Galois Fields, Polynomial Arithmetic, Polynomial Arithmetic with Mod 2 Coefficients.
From playlist Network Security
Basic Concepts in Number Theory & Finite Fields: Part 2
It covers Euclid's Algorithm, Euclid's Algorithm: Tabular Method, Modular Arithmetic, Modular Arithmetic Operations, Modular Arithmetic Properties, Group, Cyclic Group, Ring, Field, Finite Fields or Galois Fields, Polynomial Arithmetic, Polynomial Arithmetic with Mod 2 Coefficients.
From playlist Network Security
Network Analysis. Course introduction.
Introduction to the Social Network Analysis course.
From playlist Structural Analysis and Visualization of Networks.
Network Security, Part 1 : Basic Encryption Techniques
Fundamental concepts of network security are discussed. It provides a good overview of secret Key and public key Encryption. Important data encryption standards are presented.
From playlist Network Security
Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/
From playlist Network Science, 2021
An introduction to the field of Graph Theory, the study of networks Algorithms repository: https://github.com/williamfiset/algorithms#graph-theory Slides: https://github.com/williamfiset/Algorithms/tree/master/slides/graphtheory Graph Theory Videos: https://www.youtube.com/playlist?list
From playlist Graph Theory Playlist
Singular Learning Theory - Seminar 22 - Open problems
This seminar series is an introduction to Watanabe's Singular Learning Theory, a theory about algebraic geometry and statistical learning theory. In this seminar Dan Murfet outlines a list of open problems in the theory, that people might want to work on. The boards with the open problems
From playlist Singular Learning Theory
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
DDPS | A mathematical understanding of modern Machine Learning: theory, algorithms and applications
In this talk from July 15, 2021, Brown University assistant professor Yeonjong Shin discusses the development of robust and reliable machine learning algorithms based on insights gained from the mathematical analysis. Description: Modern machine learning (ML) has achieved unprecedented em
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Omer Bobrowski: Random Simplicial Complexes, Lecture I
A simplicial complex is a collection of vertices, edges, triangles, tetrahedra and higher dimensional simplexes glued together. In other words, it is a higher-dimensional generalization of a graph. In recent years there has been a growing effort in developing the theory of random simplicia
From playlist Workshop: High dimensional spatial random systems
24C3: I know who you clicked last summer
Speaker: Svenja Schröder A swiss army knife for automatic social investigation This talk introduces some techniques of social network analysis and graph theory. It aims at using simple approaches for getting interesting facts about networks. I will use the data of a popular community t
From playlist 24C3: Full steam ahead
Unlocking the Potential of Message Passing: Exploring GraphSAGE, GCN and GAT | GNN GraphML
Introduction to GRAPH ML, Graph Neural Networks (GNN) and the main idea behind Message Passing in graph network configurations of GraphSAGE, GCN and GAT. Message passing applied to Graph Convolutional Networks (GCN), GraphSAGE and Graph Attention Networks. The key difference between GAT an
From playlist Learn Graph Neural Networks: code, examples and theory
Antonio Marquina - Machine Learning for Gravitational Wave Astronomy: concepts & terminology
Recorded 15 September 2021. Antonio Marquina of the University of Valencia presents "Introduction to Machine Learning for Gravitational Wave Astronomy I: General concepts and terminology." at IPAM's Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy Tutori
From playlist Tutorials: Math & Computational Challenges in the Era of Gravitational Wave Astronomy
MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63wnrKge9vllow3Y2OOOKqF Prof
From playlist MIT 14.04 Intermediate Microeconomic Theory, Fall 2020
Transport Layer Security: Part 2 - TLS & HTTPS
Fundamental concepts of TLS are discussed. SSL is analyzed. HTTPS & SSH are presented.
From playlist Network Security
Graph Theory algorithms video series Support me by purchasing the full graph theory playlist on Udemy. This version offers additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-theory-algorithms Graph Theory video series playlist on YouTu
From playlist Graph Theory Playlist