Introduction to Sets and Set Notation
This video defines a set, special sets, and set notation.
From playlist Sets (Discrete Math)
Determine Sets Given Using Set Notation (Ex 2)
This video provides examples to describing a set given the set notation of a set.
From playlist Sets (Discrete Math)
How to Identify the Elements of a Set | Set Theory
Sets contain elements, and sometimes those elements are sets, intervals, ordered pairs or sequences, or a slew of other objects! When a set is written in roster form, its elements are separated by commas, but some elements may have commas of their own, making it a little difficult at times
From playlist Set Theory
Determine Sets Given Using Set Notation (Ex 1)
This video provides examples to describing a set given the set notation of a set.
From playlist Sets (Discrete Math)
Sets might contain an element that can be identified as an identity element under some binary operation. Performing the operation between the identity element and any arbitrary element in the set must result in the arbitrary element. An example is the identity element for the binary opera
From playlist Abstract algebra
This video introduces the basic vocabulary used in set theory. http://mathispower4u.wordpress.com/
From playlist Sets
This video defines set-builder notation and compares it to interval expressed graphically, using interval notation, and using inequalities. Site: http://mathispower4u.com
From playlist Using Interval Notation
9.3.1 Sets: Definitions and Notation
9.3.1 Sets: Definitions and Notation
From playlist LAFF - Week 9
Set Theory (Part 1): Notation and Operations
Please feel free to leave comments/questions on the video and practice problems below! In this video series, we'll explore the basics of set theory. I assume no experience with set theory in the video series and anyone who's "been around town" in math should understand the videos. To make
From playlist Set Theory by Mathoma
Biometrics for identification – What do practitioners need, and what can government do?
Harry Farmer, Researcher, Ada Lovelace Institute Biometric technologies, from facial recognition to digital fingerprinting, have proliferated through society in recent years. Benefits are often counterbalanced by ethical and societal concerns. These worries compound a growing controversy
From playlist Turing trustworthy digital identity conference
O'Reilly Webcast: Anonymizing Health Data
How can health data be released to analysts and app developers who desperately want it? Under current legislation, the use and disclosure of health data for secondary purposes is limited—patients must either consent to have their data used, which is often difficult to get and can lead to b
From playlist O'Reilly Webcasts 3
O'Reilly Webcast: Responsibly Sharing Data Under HIPAA
Organizations are sitting on large amounts of valuable health data - whether they are healthcare providers, health IT developers, insurers, or claims processors. The analytical value in this data can be unlocked to improve efficiencies and to create new business opportunities if it can be
From playlist O'Reilly Webcasts 2
Accurate De-identification, Obfuscation, & Editing of Scanned Medical Documents and Images | Webinar
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Watch all NLP & AI webinars: https://events.johnsnowlabs.com/webinars Recent advances in deep learning enable automated de-identification of medical data to approach the accuracy achievable
From playlist AI & NLP Webinars
Benefits and challenges in de-identifying and linking unstructured records | Healthcare NLP Summit
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ There are tremendous research benefits of li
From playlist Healthcare NLP Summit 2021
Accurate De-Identification of Structured & Unstructured Medical Data at Scale | Webinar
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Watch all webinars: https://events.johnsnowlabs.com/webinars Recent advances in deep learning enable automated de-identification of medical data to approach the accuracy achievable via manu
From playlist AI & NLP Webinars
Fairness in commercial face recognition algorithms
Session 3 – Dr Santhosh Narayanan, The Alan Turing Institute
From playlist Trustworthy Digital Identity – Workshop, December 2022
[Webinar] Accurate De-Identification of Structured & Unstructured Medical Data at Scale
See more at www.johnsnowlabs.com Recent advances in deep learning enable automated de-identification of medical data to approach the accuracy achievable via manual effort. This includes accurate detection & obfuscation of patient names, doctor names, locations, organizations, and dates fr
From playlist AI & NLP Webinars
Data-Driven Control: Linear System Identification
Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input--output dynamics. https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning
Introduction to sets || Set theory Overview - Part 1
A set is the mathematical model for a collection of different things; a set contains elements or members, which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, or even other #sets. The #set with no element is the empty
From playlist Set Theory
R - Structural Equation Model Basics Lecture 2
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basic terminology for structural equation modeling including: identification, scaling, variable types, manifest/latent variables, path coefficient types, endogenous/exogenous variables, degrees o
From playlist Structural Equation Modeling