Network science

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

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

Neural Network Overview

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

A gentle introduction to network science: Dr Renaud Lambiotte, University of Oxford

The language of networks and graphs has become a ubiquitous tool to analyse systems in domains ranging from biology to physics and from computer science to sociology. Renaud will present important properties observed in real-life networked systems, as well as tools to understand and model

From playlist Data science classes

Networking

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Networking

Network Resources (2 of 2)

From playlist Communications & Network Systems

Computer Literacy - (unit 4) - the internet - 1 of 4

Forth unit of a series for newbie computer users. See http://proglit.com/computer-skills/ for additional information and material.

From playlist Computer Literacy - (unit 4) - the internet

Network Science. Lecture16. Machine learning on graphs. Link prediction.

From playlist Network Science. Module 2, 2020

Lecture 4. Network models.

Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/

From playlist Network Science, 2021

Анализ сетевых структур - лекция 1

Лектор - Жуков Леонид Евгеньевич

From playlist Network Science. Module 1, 2019

Lecture1. Introduction to Network Science.

Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/

From playlist Network Science, 2021

Trusted CI webinar: Toward Security-Managed Virtual Science Networks

Originally recorded April 23rd 2018 Data-intensive science collaborations increasingly provision dedicated network circuits to share and exchange datasets securely at high speed, leveraging national-footprint research fabrics such as ESnet or I2/AL2S. This talk first gives an overview o

From playlist Center for Applied Cybersecurity Research (CACR)

Backpropagation in Neural Networks | Back Propagation Algorithm with Examples | Simplilearn

This video covers What is Backpropagation in Neural Networks? Neural Network Tutorial for Beginners includes a definition of backpropagation, working of backpropagation, benefits of backpropagation, and applications. 00:00 - What is Backpropagation? This phase contains the definition of

From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn

Network Analysis. Lecture 1. Introduction to Network Science

Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf

From playlist Structural Analysis and Visualization of Networks.

Celeste Matarazzo: A data scientist’s perspective on cybersecurity

“Cybersecurity is still more of an art, more of a trade craft than a science,” said Celeste Matarazzo, a cybersecurity researcher at Lawrence Livermore National Laboratory. Matarazzo says the challenge for data scientists is to bring new thinking and rigorous scientific methodology to defe

From playlist Women In Data Science Conference (WiDS)- 2015

Social Network Analysis. Lecture1. Introduction to network analysis

From playlist Social Network Analysis. Linguistic Networks, 2020.

Why Study Computer Science? | College Majors | College Degrees | Study Hall

What can you do with a Computer Science major? In Computer Science you can expect to study discrete mathematics, probability and statistics, linear algebra, physics and so much more. Basically, Computer Science is the study of computer systems and how they function. If you want to dig de

From playlist Fast Guides: To Electives and Majors

Trusted CI Webinar: Whose line is it anyway? Problem solving in complex networks - Doug Southworth

Originally recorded July 20, 2020 Slides: http://hdl.handle.net/2142/107782 Today’s collaborative science often utilizes massive datasets shared across great distances. With better access to data we ask harder questions: interactive data sources change the very science we do. These fac

From playlist Center for Applied Cybersecurity Research (CACR)

AI vs ML vs DL vs Data Science - Difference Explained | Simplilearn

In this video, we will cover AI vs. ML vs. DL vs. Data Science in detail. From this video, you will be able to understand the difference between AI, ML, DL, and Data Science. 0:00 Deep Learning 2:31 Machine Learning 3:49 Artificial Intelligence 5:26 Deep Learning 🔥Enroll in Free Data Scie

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

the Internet (part 2)

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