A song that plays through the digits of the mathematical concept Tau. I hope you enjoy!
From playlist Math Play
Bertrand Eynard: Integrable systems and spectral curves
Usually one defines a Tau function Tau(t_1,t_2,...) as a function of a family of times having to obey some equations, like Miwa-Jimbo equations, or Hirota equations. Here we shall view times as local coordinates in the moduli-space of spectral curves, and define the Tau-function of a spect
From playlist Analysis and its Applications
It's Tau Day (but should you care?)
The Pi vs Tau debate has gone on for long enough! In this video I'll be discussing my thoughts on the tau vs pi discussion. If you haven't hear, Tau=2*Pi. Both numbers (pi and tau) have to do with the circle. Pi is defined in terms of a circles circumference and diameter while tau is defi
From playlist Math Talk
Differential Equations | Convolution: Definition and Examples
We give a definition as well as a few examples of the convolution of two functions. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Differential Equations
An general explanation of the underactive thyroid.
From playlist For Patients
A Song About A Circle Constant
Happy Tau Day! This is a song about Tau! Other Tau things you should see: Pi is (still) Wrong: http://youtu.be/jG7vhMMXagQ What Tau Sounds Like: http://youtu.be/3174T-3-59Q Another Tau song for Piano: http://youtu.be/efM7DFMTp5c The Tau Manifesto: http://tauday.com/ Another cool Tau song
From playlist Doodling in Math and more | Math for fun and glory | Khan Academy
Gamma Matrices in Action #2 | How to do Calculations with Gamma Matrices
In this video, we show you how to use Dirac’s gamma matrices to do calculations in relativistic #QuantumMechanics! If you want to read more about the gamma matrices, we can recommend the book „An Introduction to Quantum Field Theory“ by Michael Peskin and Daniel Schroeder, especially cha
From playlist Dirac Equation
Unit 2 - practice problem 4 question
From playlist Courses and Series
Introduction to the Dirac Delta Function
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to the Dirac Delta Function
From playlist Differential Equations
Delay Dynamical Systems (Lecture 2) by Debabrata Biswas
PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an
From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)
Loss Functions: Treatment Heterogeneity
Professor Stefan Wager distills best practices for causal inference into loss functions.
From playlist Machine Learning & Causal Inference: A Short Course
SYK Model (Lecture 2) by Vladimir Rosenhaus
Statistical Physics Methods in Machine Learning DATE:26 December 2017 to 30 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the "th
From playlist Kavli Asian Winter School (KAWS) on Strings, Particles and Cosmology 2018
HTE: Confounding-Robust Estimation
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
Dianel Isaksen - 3/3 Motivic and Equivariant Stable Homotopy Groups
Notes: https://nextcloud.ihes.fr/index.php/s/4N5kk6MNT5DMqfp I will discuss a program for computing C2-equivariant, ℝ-motivic, ℂ-motivic, and classical stable homotopy groups, emphasizing the connections and relationships between the four homotopical contexts. The Adams spectral sequence
From playlist Summer School 2020: Motivic, Equivariant and Non-commutative Homotopy Theory
Loss Functions: Validating CATE Estimates
Professor Stefan Wager distills best practices for causal inference into loss functions.
From playlist Machine Learning & Causal Inference: A Short Course
Lec 16 | MIT 6.450 Principles of Digital Communications I, Fall 2006
Lecture 16: Review; introduction to detection View the complete course at: http://ocw.mit.edu/6-450F06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.450 Principles of Digital Communications, I Fall 2006
Conditional Average Treatment Effects: Overview
Professor Susan Athey presents an introduction to heterogeneous treatment effects and causal trees.
From playlist Machine Learning & Causal Inference: A Short Course
Delay Dynamical Systems (Lecture 1) by Debabrata Biswas
PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an
From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)
Activity Driven Transport in Harmonic Chains by Urna Basu
DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December
From playlist Statistical Physics of Complex Systems - 2022
Discrete Fourier Restriction Phenomenon and Associated Dispersive Equations - Yi Hu
Discrete Fourier Restriction Phenomenon and Associated Dispersive Equations Yi Hu University of Illinois at Urbana-Champaign; Member, School of Mathematics September 28, 2012
From playlist Mathematics