Reliability 1: External reliability and rater reliability and agreement
In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.
From playlist Reliability analysis
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary
Confidentiality, Integrity, and Availability of Computer Security
http://www.365computersecuritytraining.com This video explains the CIA Triangle of computer security. For more FREE IT Security training videos visit our site! +CONFIDENTIALITY +INTEGRITY +AVAILABILITY These three are the fundamental characteristics of data that must be protected.
From playlist awareness
Is Data Science Right For You?
In this video I help you to answer if data science is a good fit for you. I provide 5 questions that you should ask yourself that will assess your fit for the field. #DataScience #DataScienceJobs #DataScienceCareers Questions to Ask Yourself: - Am I prepared to seriously commit to learn
From playlist Data Science Jobs
Staysafe.org: Protect your computer
The Internet is a global network that connects us to limitless information and opportunities. But there are risks involved with connecting to the Internet, such as downloading viruses and spyware onto computers and devices. Watch this video for four easy steps to help protect your computer
From playlist awareness
The Secret Data Scientists Don't Want You to Know
In this video I tell you the main secret that data scientists are keeping from you. I hope that revealing this will make data science seem less intimidating and will help you on your learning journey. Remember to subscribe! https://www.youtube.com/c/kenjee1?sub_confirmation=1 Fro my exp
From playlist Data Science Beginners
Intro to Data Science: Historical Context
This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Fundamental concepts of IPSec are discussed. Authentication Header is explained. ESP & IKE are analyzed.
From playlist Network Security
Salesforce Integration Tutorial | Integrate Salesforce with Apps | Salesforce Training | Edureka
🔥Edureka Salesforce Certification Training(𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/salesforce-administrator-and-developer-training This "𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥" video by Edureka will help you understand what is salesforce integration in detail. It will also address the variou
From playlist Salesforce Training Videos for Beginners
SSIS Tutorial For Beginners | SQL Server Integration Services (SSIS) | MSBI Training Video | Edureka
🔥 Microsoft BI Certification: https://www.edureka.co/microsoft-bi-certification This Edureka SSIS Tutorial video will help you learn the basics of MSBI. SSIS is a platform for data integration and workflow applications. This video covers data warehousing concepts which is used for data ex
From playlist Microsoft BI Tutorial Videos
Trusted CI Webinar: SWIP Project: Motivation and Initial Experiences
Originally recorded August 26, 2019 Slides: http://hdl.handle.net/2142/105400 With the continued rise of scientific computing and the enormous increases in the size of data being processed, scientists must consider whether the processes for transmitting and storing data sufficiently assu
From playlist Center for Applied Cybersecurity Research (CACR)
Lecture: Higher-order Integration Schemes
Higher-order numerical integration schemes are considered along the classic schemes of trapezoidal rule and Simpson’s rule.
From playlist Beginning Scientific Computing
Stanford Seminar - Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton
Guillaume Lample & Francois Charton Facebook AI Research April 16, 2020 View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu 0:00 Introduction 1:06 Deep learning for symbolic mathematics 2:27 Starting point 4:22 Basic intuition 6:44 The plan
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Engineering CEE 20: Engineering Problem Solving. Lecture 22
UCI CIvil & Environmental Engineering 20 Engineering Problem Solving (Spring 2013) Lec 22. Engineering Problem Solving View the complete course: http://ocw.uci.edu/courses/cee_20_introduction_to_computational_engineering_problem_solving.html Instructor: Jasper Alexander Vrugt, Ph.D. Licen
From playlist Engineering CEE 20: Engineering Problem Solving
The Unified Transform Method for linear evolution equations (Lecture 3) by David Smith
Program : Integrable systems in Mathematics, Condensed Matter and Statistical Physics ORGANIZERS : Alexander Abanov, Rukmini Dey, Fabian Essler, Manas Kulkarni, Joel Moore, Vishal Vasan and Paul Wiegmann DATE & TIME : 16 July 2018 to 10 August 2018 VENUE : Ramanujan L
From playlist Integrable systems in Mathematics, Condensed Matter and Statistical Physics
Deep Learning for Symbolic Mathematics | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2020-02-18 Discussion lead/authors: Francois Charton, Guillaume Lample Abstract: Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calcula
From playlist Natural Language Processing
Colm Talbot - Adventures in practical population inference - IPAM at UCLA
Recorded 16 November 2021. Colm Talbot of the Massachusetts Institute of Technology presents "Adventures in practical population inference" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: Population inference provides our most
From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy
ME564 Lecture 15: Numerical differentiation and numerical integration
ME564 Lecture 15 Engineering Mathematics at the University of Washington Numerical differentiation and numerical integration Notes: http://faculty.washington.edu/sbrunton/me564/pdf/L15.pdf Course Website: http://faculty.washington.edu/sbrunton/me564/ http://faculty.washington.edu/sbrun
From playlist Engineering Mathematics (UW ME564 and ME565)
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science