Quantized Energy Equation (Quantum Physics)
#Quantum #Physics #Engineering #tiktok #NicholasGKK #shorts
From playlist Quantum Mechanics
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
(PP 6.4) Density for a multivariate Gaussian - definition and intuition
The density of a (multivariate) non-degenerate Gaussian. Suggestions for how to remember the formula. Mathematical intuition for how to think about the formula.
From playlist Probability Theory
(PP 6.6) Geometric intuition for the multivariate Gaussian (part 1)
How to visualize the effect of the eigenvalues (scaling), eigenvectors (rotation), and mean vector (shift) on the density of a multivariate Gaussian.
From playlist Probability Theory
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
What is Sociology? | College Majors | College Degrees | Study Hall
What can you do with a sociology major? In Sociology you can expect to study race, gender, social issues, statistics and so much more. Basically, Sociology is the study of how groups interact and behave collectively. if you are fascinated by human behavior or have the curiosity to ask a
From playlist Fast Guides: To Electives and Majors
(PP 6.7) Geometric intuition for the multivariate Gaussian (part 2)
How to visualize the effect of the eigenvalues (scaling), eigenvectors (rotation), and mean vector (shift) on the density of a multivariate Gaussian.
From playlist Probability Theory
History of Science Lecture Series - Steven Shapin
History of Science Lecture Series Topic: "The Social Sciences are Better than the Natural Sciences" Speaker: Steven Shapin Affiliation: Harvard University Date: February 24, 2023 Wolfensohn Hall
From playlist History of Science Series
Some thoughts on Gaussian processes for emulation of deterministic computer models: Michael Stein
Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty. It is increasingly becoming a relevant tool to gain a better understanding of physical systems and to make better decisions under uncertainty. Realistic physical systems are
From playlist Effective and efficient gaussian processes
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
Hermeneutics and Wolfram Language
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: George Woodrow III Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices
From playlist Wolfram Technology Conference 2018
Beyond Tech: Machine learning in science & policy: Professor David Dunson, Duke
Applications in the tech industry have driven much of the progress in machine learning in recent years. Most tech applications are fundamentally different in structure than applications in other fields, such as science and policy making. Hence, algorithms that can be highly successful in
From playlist Turing Seminars
Albert Einstein, Holograms and Quantum Gravity
In the latest campaign to reconcile Einstein’s theory of gravity with quantum mechanics, many physicists are studying how a higher dimensional space that includes gravity arises like a hologram from a lower dimensional particle theory. Read about the second episode of the new season here:
From playlist In Theory
Emmanuel Candès: How to increase certainty in predictive modeling
Read more: https://stanford.io/2VzpvyF Today’s predictive algorithms carry too much uncertainty says one mathematician, who is working to bring confidence to the models that, increasingly, rule our lives. Anyone who’s ever made weekend plans based on the weather forecast knows that predi
From playlist The Future of Everything
The degeneration method and various improvements (Lecture - 04) by Claire Voisin
Infosys-ICTS Ramanujan Lectures Some new results on rationality Speaker: Claire Voisin (College de France) Date: 01 October 2018, 16:00 Venue: Madhava Lecture Hall, ICTS campus Resources Lecture 1: Some new results on rationality Date & Time: Monday, 1 October 2018, 04:00 PM Abstra
From playlist Infosys-ICTS Ramanujan Lectures
The History of Biostatistics and the Origins of Precision Medicine - Christopher Phillips
More videos on http://video.ias.edu
From playlist Historical Studies
Issues in time domain astronomy by Matthew Graham
20 March 2017 to 25 March 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru This joint program is co-sponsored by ICTS and SAMSI (as part of the SAMSI yearlong program on Astronomy; ASTRO). The primary goal of this program is to further enrich the international collaboration in the area
From playlist Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy
Quantization in modular setting, and its applications - Roman Travkin
Short Talks by Postdoctoral Members Roman Travkin - September 30, 2015 http://www.math.ias.edu/calendar/event/88334/1443637800/1443638700 More videos on http://video.ias.edu
From playlist Short Talks by Postdoctoral Members