Computational Linguistics I: Topic Modeling
From playlist Digging into Data
Composite Figure GeoGebra Template
GeoGebra Resource: https://www.geogebra.org/m/dyd4srak
From playlist Geometry: Dynamic Interactives!
Similar Figures Definition: Dynamic Illustration
Link: https://www.geogebra.org/m/EeXdSpJB
From playlist Geometry: Dynamic Interactives!
Complements and Supplements: Quick Conceptual Illustrator
Links: https://www.geogebra.org/m/G9De98Xv & https://www.geogebra.org/m/hXYrYnCD
From playlist Geometry: Dynamic Interactives!
Area of a Rhombus: Without Words
GeoGebra Resource Link: https://www.geogebra.org/m/acfbyxaw
From playlist Geometry: Dynamic Interactives!
Isosceles Triangle: Dynamic Illustrations without Words
GeoGebra Resource Link: https://www.geogebra.org/m/Au4rzFcJ
From playlist Geometry: Dynamic Interactives!
Tangents to Circles: 2 Dynamic Illustrations without Words
GeoGebra Link: https://www.geogebra.org/m/nPWzTnAq
From playlist Geometry: Dynamic Interactives!
Adding Vectors Geometrically: Dynamic Illustration
Link: https://www.geogebra.org/m/tsBer5An
From playlist Trigonometry: Dynamic Interactives!
Neural opinion dynamics model for the prediction of user-level stance dynamics - Yulan He, Warwick
Around the world, digital participation platforms are being used as a tool for direct democracy, aiming to empower citizens to contribute to policy making. As trust in traditional democratic institutions declines, these deliberative platforms offer a way to build new relationships and trus
From playlist Citizen participation and machine learning for a better democracy
Dynamical systems evolving – Lai-Sang Young – ICM2018
Plenary Lecture 8 Dynamical systems evolving Lai-Sang Young Abstract: I will discuss a number of results taken from a cross-section of my work in Dynamical Systems theory and applications. The first topics are from the ergodic theory of chaotic dynamical systems. They include relation be
From playlist Plenary Lectures
Differential Equations and Dynamical Systems: Overview
This video presents an overview lecture for a new series on Differential Equations & Dynamical Systems. Dynamical systems are differential equations that describe any system that changes in time. Applications include fluid dynamics, elasticity and vibrations, weather and climate systems,
From playlist Engineering Math: Differential Equations and Dynamical Systems
Lecture 1 | Introduction to Robotics
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/mg/ Lecture by Professor Oussama Khatib for Introduction to Robotics (CS223A) in the Stanford Computer Science Department. In the first lecture of the quarter, Professor Khatib provides an overview of the cou
From playlist Lecture Collection | Introduction to Robotics
Data Driven Methods for Complex Turbulent Systems ( 3 ) - Andrew J. Majda
Lecture 3: Data Driven Methods for Complex Turbulent Systems Abstract: An important contemporary research topic is the development of physics constrained data driven methods for complex, large-dimensional turbulent systems such as the equations for climate change science. Three new approa
From playlist Mathematical Perspectives on Clouds, Climate, and Tropical Meteorology
Introduction to binomial option pricing model: two-step (FRM T4-6)
[my xls is here https://trtl.bz/2AruFiH] The binomial option pricing model needs: 1. A set of assumptions similar but not identical to those found in Black-Scholes; 2. A framework; i.e., risk-neutral valuation which allows us to infer the probability of an up-jump; 3. An assumption about a
From playlist Valuation and RIsk Models (FRM Topic 4)
Motor Control Design with MATLAB and Simulink
Learn about motor control design using MATLAB® and Simulink®. In this video, you will learn to: - Identify core pieces of a field-oriented controller in a Simulink model. - Autotune of PI controller gains. - Distinguish between dynamic decoupling control and flux weakening control. Down
From playlist Hybrid Electric Vehicles
Data-driven and data-augmented modeling of chaotic spatiotemporal dynamical system by Jaideep Pathak
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
DDPS | Identification of Nonlinear Dynamical Systems from Noisy Measurements
In this DDPS Seminar Series talk from Sept. 30, 2021, Peter Benner, a director at the Max Planck Institute for Dynamics of Complex Technical Systems, discusses approaches blending machine learning and dictionary-based learning with numerical analysis tools to discover nonlinear differentia
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Ling Sun - Tracking a continuous gravitational-wave signal with a hidden Markov model - IPAM at UCLA
Recorded 18 November 2021. Ling Sun of the Australian National University presents "Tracking a continuous gravitational-wave signal with a hidden Markov model" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: In recent years, the
From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy
Area of a Regular Polygon: 2 Conceptual Approaches
Links: https://www.geogebra.org/m/aHvgEm9v https://www.geogebra.org/m/wxJFqM9P
From playlist Geometry: Dynamic Interactives!