Introduction to Gradient (2 of 2: Reading & Interpreting Graphs)
More resources available at www.misterwootube.com
From playlist Linear Relationships
What is Gradient, and Gradient Given Two Points
"Find the gradient of a line given two points."
From playlist Algebra: Straight Line Graphs
Download the free PDF http://tinyurl.com/EngMathYT A basic tutorial on the gradient field of a function. We show how to compute the gradient; its geometric significance; and how it is used when computing the directional derivative. The gradient is a basic property of vector calculus. NOT
From playlist Engineering Mathematics
Find the Gradient Vector Field of f(x,y)=x^3y^5
This video explains how to find the gradient of a function. It also explains what the gradient tells us about the function. The gradient is also shown graphically. http://mathispower4u.com
From playlist The Chain Rule and Directional Derivatives, and the Gradient of Functions of Two Variables
Find the Gradient Vector Field of f(x,y)=ln(2x+5y)
This video explains how to find the gradient of a function. It also explains what the gradient tells us about the function. The gradient is also shown graphically. http://mathispower4u.com
From playlist The Chain Rule and Directional Derivatives, and the Gradient of Functions of Two Variables
Finding The Gradient Of A Straight Line | Graphs | Maths | FuseSchool
The gradient of a line tells us how steep the line is. Lines going in this / direction have positive gradients, and lines going in this \ direction have negative gradients. The gradient can be found by finding how much the line goes up - the rise, and dividing it by how much the line goe
From playlist MATHS
Introduction to the Gradient Theory and Formulas
Introduction to the Gradient Theory and Formulas If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Thank you:)
From playlist Calculus 3
Show the Gradient to a Surface Using 3D Calc Plotter
New url for the 3D plotter: https://c3d.libretexts.org/CalcPlot3D/index.html This video using 3D Calc Plotter to illustrate the meaning of a gradient vector. http://mathispower4u.com
From playlist 3D Calc Plotter
DDPS | A mathematical understanding of modern Machine Learning: theory, algorithms and applications
In this talk from July 15, 2021, Brown University assistant professor Yeonjong Shin discusses the development of robust and reliable machine learning algorithms based on insights gained from the mathematical analysis. Description: Modern machine learning (ML) has achieved unprecedented em
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Kevin Painter: Connecting individual- and population-level models for the movement and organisation1
Abstract: The manner in which a population, whether of cells or animals, self-organises has been a long standing point of interest. Motivated by the problem of morphogenesis – the emergence of structure and form in the developing embryo - Alan Turing proposed his highly counterintuitive re
From playlist Summer School on Stochastic modelling in the life sciences
John Murray: "Neural Circuit Modeling of Large-Scale Brain Dynamics for Computational Psychiatry"
Computational Psychiatry 2020 "Neural Circuit Modeling of Large-Scale Brain Dynamics for Computational Psychiatry" John Murray - Yale University Abstract: A critical explanatory gap in clinical neuroscience lies in our mechanistic understanding of how systems-level neuroimaging biomarker
From playlist Computational Psychiatry 2020
This video explains what information the gradient provides about a given function. http://mathispower4u.wordpress.com/
From playlist Functions of Several Variables - Calculus
25. Stochastic Gradient Descent
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Suvrit Sra View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k Professor Suvrit Sra g
From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Recorded 12 January 2023. Oliver Eberle of Technische Universität Berlin presents "Explainable structured machine learning in similarity, graph and transformer models" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Abstract: Many widely used models such as deep
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
The mathematics of machine learning and deep learning – Sanjeev Arora – ICM2018
Plenary Lecture 15 The mathematics of machine learning and deep learning Sanjeev Arora Abstract: Machine learning is the sub-field of computer science concerned with creating programs and machines that can improve from experience and interaction. It relies upon mathematical optimization,
From playlist ML @ Scale
Ian Tobasco: "Branching patterns in the optimal design of heat transport"
Transport and Mixing in Complex and Turbulent Flows 2021 "Branching patterns in the optimal design of heat transport" Ian Tobasco - University of Illinois at Chicago, Mathematics Abstract: We consider the related questions of how to (1) optimally transport heat across a fluid layer and (
From playlist Transport and Mixing in Complex and Turbulent Flows 2021
Patterns in Nature and human Visual Perception by Ann Hermundstad
Information processing in biological systems URL: https://www.icts.res.in/discussion_meeting/ipbs2016/ DATES: Monday 04 Jan, 2016 - Thursday 07 Jan, 2016 VENUE: ICTS campus, Bangalore From the level of networks of genes and proteins to the embryonic and neural levels, information at var
From playlist Information processing in biological systems
Blind Ptychography: Theory and Algorithm - Fannjiang - Workshop 1 - CEB T1 2019
Fannjiang (UC Davis) / 08.02.2019 Blind Ptychography: Theory and Algorithm Blind ptychography is a phase retrieval method using multiple coded diffraction patterns from different, overlapping parts of the unknown extended object illuminated with an unknown window function. As such blind
From playlist 2019 - T1 - The Mathematics of Imaging
Gradient (1 of 3: Developing the formula)
More resources available at www.misterwootube.com
From playlist Further Linear Relationships
Carlo Baldassi: "On the existence of wide flat minima in neural network landscapes: analytic and..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches" Carlo Baldassi - Bocconi University Abstract: The techniques c
From playlist Machine Learning for Physics and the Physics of Learning 2019