An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org
From playlist The Internet
Mod-01 Lec-21 Vector and Matrix Norms
Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics
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
V5-04. Linear Programming. Matrix representation of the Simplex Algorithm.
Math 484: Linear Programming. Matrix representation of the Simplex Algorithm. Wen Shen, 2020, Penn State University
From playlist Math484 Linear Programming Short Videos, summer 2020
Star 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
Network Security: Classical Encryption Techniques
Fundamental concepts of encryption techniques are discussed. Symmetric Cipher Model Substitution Techniques Transposition Techniques Product Ciphers Steganography
From playlist Network Security
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
Stefano Gualandi: "Discrete Optimal Transport by Parallel Network Simplex"
Deep Learning and Combinatorial Optimization 2021 "Discrete Optimal Transport by Parallel Network Simplex" Stefano Gualandi - Università di Pavia Abstract: We present recent results on the solution of problems related to the theory of Optimal Transport by using an efficient parallel impl
From playlist Deep Learning and Combinatorial Optimization 2021
8ECM Public Lecture: Kathryn Hess
From playlist 8ECM Public Lectures
Seminar on Applied Geometry and Algebra (SIAM SAGA): Jesús A. De Loera
Title: The Geometry of the Space of ALL Pivot Rules of a Linear Optimization Problem Speaker: Jesús A. De Loera, University of California Davis Date: Tuesday, April 12 2022 at 11:00am Eastern For more information, see our website: https://wiki.siam.org/siag-ag/index.php/Webinar
From playlist Seminar on Applied Geometry and Algebra (SIAM SAGA)
Yusu Wang (4/25/18): Graph reconstruction via discrete Morse theory
Graphs form one of the most important types of data in various applications across science and engineering. They could be geometric in nature, such as road networks in GIS, or relational and abstract, such as protein-protein interaction networks. A fundamental problem is to reconstruct a h
From playlist AATRN 2018
Ginestra Bianconi: Emergent Network Geometry
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology
From playlist HIM Lectures: Special Program "Applied and Computational Algebraic Topology"
Nihat Ay : Information Geometric structures in Cognitive Systems Research
Recording during the thematic meeting : "Geometrical and Topological Structures of Information" the September 01, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent
From playlist Geometry
Román Orús: "News on tensor network simulations for quantum matter and beyond"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "News on tensor network simulations for quantum matter and beyond" Román Orús - Donostia International Physics Center Abstract: In this talk I will make an
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Kathryn Hess (6/27/17) Bedlewo: Topology meets neuroscience
I will present an overview of applications of topology to neuroscience on a wide range of scales, from the level of neurons to the level of brain regions. In particular I will describe collaborations in progress with the Blue Brain Project on topological analysis of the structure and funct
From playlist Applied Topology in Będlewo 2017
Lec 29 | MIT 18.085 Computational Science and Engineering I
Applications in signal and image processing: compression A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
Reinforcement Learning, Deep Learning,and the Role of Policy Gradient Methods - Sham Kakade
Workshop on Theory of Deep Learning: Where next? Topic: Reinforcement Learning, Deep Learning,and the Role of Policy Gradient Methods Speaker: Sham Kakade Affiliation: University of Washington Date: October 18, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Networks: An example of a Network
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From playlist Networks