Node (computer science)
A node is a basic unit of a data structure, such as a linked list or tree data structure. Nodes contain data and also may link to other nodes. Links between nodes are often implemented by pointers. (Wikipedia).
A node is a basic unit of a data structure, such as a linked list or tree data structure. Nodes contain data and also may link to other nodes. Links between nodes are often implemented by pointers. (Wikipedia).
Computer Basics: What Is a Computer?
Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0
From playlist Starting out with Technology
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
Certificate Overview: Advanced Cybersecurity
More information: https://online.stanford.edu/professional-education/cybersecurity?utm_source=youtube&utm_medium=social&utm_campaign=webinar Gain vital skills needed for today’s cyber workforce. From state-of-the-art software security design principles to concrete programming techniques,
From playlist Computer Science & Cybersecurity
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
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
Learn computer science terminology. We'll take a dive into understanding some of the terms used in computer science and software development. The video starts with the basics and then gets more advanced. Video from Forrest Knight. Check out his channel: https://www.youtube.com/channel/UC
From playlist Computer Science Concepts
Computer Literacy - (unit 4) - the internet - 2 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
Neural Network Architectures & Deep Learning
This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders. Book website: http://databookuw.com/ Steve Brunton
From playlist Data Science
An Introduction to Data Structures
Hello everyone and welcome to an Introduction to Data Structures. In this lecture-style course, I’ll be taking through the topic of Data Structures in relation to Computer Science. We’ll go over what Data Structures are, how we measure a Data Structures efficiency, and then hop into talkin
From playlist Software Development
RubyConf 2010 - Pwrake : a Distributed Workflow Engine for e-Science by: Masahiro Tanaka
e-Science is scientific research enabled by widely distributed computational resources in collaboration among several institutes. One of issues in making use of e-Science infrastructure is to define complex workflows (composition of many tasks and their dependencies). We propose to employ
From playlist RubyConf 2010
How JupyterHub Tamed Big Science - Cholia, Thomas, Canon (Lawrence Berkeley National Laboratory)
Shreyas Cholia (Lawrence Berkeley National Laboratory), Rollin Thomas (Lawrence Berkeley National Laboratory), Shane Canon (Lawrence Berkeley National Laboratory) share their experience leveraging JupyterHub to enable notebook services for data-intensive supercomputing on the Cray XC40 Cor
From playlist JupyterCon
The Math Needed for Computer Science
STEMerch Store: https://stemerch.com/Support the Channel: https://www.patreon.com/zachstar PayPal(one time donation): https://www.paypal.me/ZachStarYT Versión en español de este video: https://www.youtube.com/watch?v=TmyieeucUQo Computer science majors have to learn a different kind of m
From playlist Computer Science/Computer Engineering
Introduction to SNA. Lecture 2. Descriptive Network Analysis
Lecture slides: https://drive.google.com/file/d/0B7-pBlaW03HaMTk5QVNwVmZrbGc/view?usp=sharing Basic graph theory. Node degree distribution. Graph diameter and average path length. Clustering coefficient. Real world examples
From playlist Introduction to SNA
Certificate Overview: Advanced Cybersecurity
More information: online.stanford.edu/advanced-cybersecurity Gain vital skills needed for today’s cyber workforce. From state-of-the-art software security design principles to concrete programming techniques, this online computer science program exposes you to expert instruction and rese
From playlist Computer Science & Cybersecurity
TUT1082 Introduction to SUSE HPC Modules
This tutorial session was delivered at SUSECON in April 2019, in Nashville, TN. Abstract: High Performance Computing use is consistently on the rise in research computing environments and is emerging in standard computing environments where parallel computing capabilities are desired. The
From playlist SUSECON 2019
Анализ сетевых структур - лекция 1
Лектор - Жуков Леонид Евгеньевич
From playlist Network Science. Module 1, 2019
Rocky Mountain Ruby 2017 - The (Non-Perfect) Mathematics of Trust by Vaidehi Joshi
Rocky Mountain Ruby 2017 - The (Non-Perfect) Mathematics of Trust by Vaidehi Joshi
From playlist Rocky Mountain Ruby 2017
Lecture1. Introduction to Network Science.
Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/
From playlist Network Science, 2021
This lecture discusses artificial intelligence (AI) in the context of data science and machine learning. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
SDS 477: How to Thrive as an Early-Career Data Scientist — with Sidney Arcidiacono
Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist. In this episode you will learn: • What is Make School? [2:50] • Sidney’s in
From playlist Super Data Science Podcast