In mathematics and empirical science, quantification (or quantitation) is the act of counting and measuring that maps human sense observations and experiences into quantities. Quantification in this sense is fundamental to the scientific method. (Wikipedia).
Quantized Energy Equation (Quantum Physics)
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From playlist Quantum Mechanics
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Overview of various methods for sensitivity analysis in the UQ of subsurface systems
From playlist Uncertainty Quantification
Discrete Math - 1.4.3 Negating and Translating with Quantifiers
Negating the Universal and Existential Quantifiers and De Morgan's Laws for Quantifiers. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Simplify the Negation of Statements with Quantifiers and Predicates
This video provides two examples of how to determine simplified logically equivalent statements containing quantifiers and predicates. mathispower4u.com
From playlist Symbolic Logic and Proofs (Discrete Math)
Introduction to Predicates and Quantifiers
This lesson is an introduction to predicates and quantifiers.
From playlist Mathematical Statements (Discrete Math)
Data Science for Uncertainty Quantification
Chapter 3 of the book, covers mostly dimension reduction
From playlist Uncertainty Quantification
Analysis of Quantization Error
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Modeling quantization error as uncorrelated noise. Signal to quantization noise ratio as a function of the number of bits used to represent the sign
From playlist Sampling and Reconstruction of Signals
UCF Center for Ethics: "Quantification in Ethics"
"Quantification in Ethics," presented by Dr. James Franklin, former Professor in the School of Mathematics and Statistics at the University of New South Wales, on November 30, 2021. Ethics is usually thought of as involving no quantification – it is about discussing principles and resolvi
From playlist Research by our staff
DSI | Leakage and the Reproducibility Crisis in ML-based Science
The use of machine learning (ML) methods for prediction and forecasting has become widespread across the quantitative sciences. However, there are many known methodological pitfalls, including data leakage, in ML-based science. In this talk, I will present results from our investigation of
From playlist DSI Virtual Seminar Series
[Discrete Mathematics] Negating Quantifiers and Translation Examples
LIKE AND SHARE THE VIDEO IF IT HELPED! Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW *--Playlists--* Discrete Mathematics 1: https://www.youtube.com/playlist?list=PLDDGPdw7e6Ag1EIznZ-m-qXu4XX3A0cIz Discrete Mathematics 2: https://www.youtube.com/pla
From playlist Discrete Math 1
DDPS | Uncertainty quantification and deep learning for water-hazard prediction by Ajay Harish
Description: As a typhoon makes landfall, it can result in high waves, high winds and a region of low pressure. The difference in the observed and regular sea level can be attributed to this advancing typhoon and is known as storm surge. Such surge when combined with the waves can lead to
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Mathematical Aspects of Computer Science
Applied Math Perspectives on Stochastic Climate Models ( 2 ) - Andrew J. Majda
Lecture 2: Applied Math Perspectives on Stochastic Climate Models Abstract: We are entering a new era of Stochastic Climate Modeling. Such an approach is needed for several reasons: 1) to model crucial poorly represented processes in contemporary comprehensive computer models such as inte
From playlist Mathematical Perspectives on Clouds, Climate, and Tropical Meteorology
Markus Reiher - Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA
Recorded 06 May 2022. Markus Reiher ETH Zurich presents "Uncertainty Quantification of Quantum Chemical Methods" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iii-large-scale-certi
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
4. Machine Learning vs Materials Informatics
Is Machine Learning the same thing as Materials Informatics? That's an important question and to answer it we should consider several aspects of each and ask if they are the same such as data size, task, data heterogeneity, uncertainty quantification, featurization, and interpretability. I
From playlist Materials Informatics
Panel: Data Sciences for Climate and Environment
You can view the full event here: https://www.youtube.com/playlist?list=PLuD_SqLtxSdUVT_2SSPzZSC__kAxpkm8w This is a a video of the Data Sciences for Climate and Environment panel discussion. This segment involved all of the featured speakers and concluded the event. About the event Col
From playlist Data Sciences for Climate and Environment
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?"
The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Mark Girolami: "Probabilistic Numerical Computation: A New Concept?" Click the below timestamps to navigate the video. 00:00:09 Introduction by Professor Jared Tanner 00:01:38 Profess
From playlist Turing Lectures