Automatic Differentiation
Also called autograd or back propagation (in the case of deep neural networks). Here is the demo code: https://github.com/cg-tuwien/deep_learning_demo.
Computer Graphics at TU Wien
MATLAB - Numerical Differentiation
https://www.halvorsen.blog/ https://www.halvorsen.blog/documents/programming/matlab/
Industrial IT and Automation
Solve Differential Equations in MATLAB and Simulink
This introduction to MATLAB and Simulink ODE solvers demonstrates how to set up and solve either one or multiple differential equations. The equations can be ...
APMonitor.com
The Coronavirus Curve - Numberphile
Ben Sparks explains (and codes) the so-called SIR Model being used to predict the spread of cornavirus (COVID-19). More links & stuff in full description below ...
Numberphile
Linear Regression and Multiple Regression
In this video, I will be talking about a parametric regression method called “Linear Regression” and it's extension for multiple features/ covariates, "Multiple ...
CodeEmporium
You Should Be Using Automatic Differentiation
WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San ...
Data Council
Numerical Differentiation examples in Computational Physics
computationalphysics #Numericaldifferentiation #forwardand centraldifferenceoperators #numericalerrorvariationwithsteppingsize #learnpython ...
Python CodeMan
SPM - Form 4 - Add Maths - Approximate Small Change (Differentiation)
In this video, you will learn two different type of small change questions, to help u fully understand about the small change topic. Anyways, If you would like to ...
Ymx+c
From automatic differentiation to message passing
See updated video here: https://www.microsoft.com/en-us/research/video/from-automatic-differentiation-to-message-passing/ Automatic differentiation is an ...
Microsoft Research
Economic Applications of Partial Differentiation
This video goes through the economic applications of partial differentiation. In particular, we explain the concept of marginal utility, marginal products, ...
Justin Eloriaga
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation
Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/2YdUtfp Professor ...
stanfordonline
Taste & Smell: Crash Course A&P #16
Hank resists the urge to devour a slice of pizza so that he can walk you through the way we experience our major special senses. It all boils down to one thing: ...
CrashCourse
PyTorch Python Tutorial | Deep Learning Using PyTorch | Image Classifier Using PyTorch | Edureka
Deep Learning Training: https://goo.gl/4it6DE ** ) This Edureka PyTorch Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding various ...
edureka!
Lec-18 Kalman Filter-Model and Derivation
Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL ...
nptelhrd
Jarrett Revels: Automatic differentiation
Visit http://julialang.org/ to download Julia.
The Julia Programming Language
Marginal Revenue, Average Cost, Profit, Price & Demand Function - Calculus
This calculus video tutorial explains the concept behind marginal revenue, marginal cost, marginal profit, average cost function, price and demand functions.
The Organic Chemistry Tutor
World Changing Glasgow: Conversations | COVID-19 and the Global Economy
Event starts at 2:55 From Joseph Lister, James Watt and Adam Smith to the detection of Gravitational Waves and the search for a COVID-19 vaccine, for over five ...
University of Glasgow
Slope and Equation of Normal & Tangent Line of Curve at Given Point - Calculus Function & Graphs
This calculus video tutorial shows you how to find the slope and the equation of the tangent line and normal line to the curve / function at a given point.
The Organic Chemistry Tutor
What's New in Leapfrog Geo 6.0
Visit MySeequent to download: https://my.seequent.com/products/leapfrog-geo/latest 0:00 - Introduction to new features 0:56 - New user interface 1:21 - Drillhole ...
Leapfrog 3D
Automatic differentiation and machine learning
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD) is a technique for calculating ...
Microsoft Research
How to determine the rate of change using a graph
Learn how to find the rate of change from graph. The rate of change is the rate at which y-values are changing with respect to the change in x-values.
Brian McLogan
Policy Gradient methods and Proximal Policy Optimization (PPO): diving into Deep RL!
In this episode I introduce Policy Gradient methods for Deep Reinforcement Learning. After a general overview, I dive into Proximal Policy Optimization: an ...
Arxiv Insights
Error Bound Formulas for midpoint and trapezoid rules, sect7.7#19b
Error bound formula for midpoint rule, Error bound formula for the trapezoid rule, approximate integrals, how to find the K, blackpenredpen.
blackpenredpen
JuliaCon 2016 | Automatic Differentiation Techniques Used in JuMP | Miles Lubin
Visit http://julialang.org/ to download Julia.
The Julia Programming Language
State Space, Part 3: A Conceptual Approach to Controllability and Observability
This video helps you gain understanding of the concept of controllability and observability. Two important questions that come up in control systems engineering ...
MATLAB
PMP certification - PMP 6th edition training videos - Define Scope (2019) - Video 4
Join our Facebook group to participate with thousands of students like you. They discuss PMP practice questions, helpful techniques and our instructor help ...
EduHubSpot
9-4: Part 2: Differentiating Inverse Trig
Leven Logic
TI-84 Plus Graphing Calculator Guide: Calculus
This is a walkthrough of the calculus features of your TI-84 graphing calculator. For more resources, go to: http://www.centerofmath.org You can jump to a ...
Center of Math
Accelerating Data Science with HPC: Deep Learning and Automatic Differentiation, Baydin
CSCS-ICS-DADSi Summer School: Accelerating Data Science with HPC Inquisitive minds want to know what causes the universe to expand, how M-theory ...
cscsch
More on Differentiation by Chain Rule, Math Lecture | Sabaq.pk |
Differentiation by chain rule, use of other rules of differentiation This video is about: More on Differentiation by Chain Rule. Subscribe to our YouTube channel to ...
Sabaq Foundation - Free Videos & Tests, Grades K-14
ICRA 2020 Presentation - gradSLAM: Dense SLAM meets Automatic Differentiation
The question of “representation" is central in the context of dense simultaneous localization and mapping (SLAM). Learning-based approaches have the ...
Ganesh Iyer
L3.1 - Introduction to optimal control: motivation, optimal costs, optimization variables
Introduction to optimal control within a course on "Optimal and Robust Control" (B3M35ORR, BE3M35ORR) given at Faculty of Electrical Engineering, Czech ...
aa4cc
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning
Professor Emma Brunskill, Stanford University http://onlinehub.stanford.edu/ Professor Emma Brunskill Assistant Professor, Computer Science Stanford AI for ...
stanfordonline
LECTURE: MathsTrack: Differentiation (2019)
A rough-and-ready lecture about differentiation, including what it's trying to achieve, differentiation by first principles and the rules of derivatives.
Maths Learning Centre UofA
Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn
This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine ...
Simplilearn
Algorithmic Differentiation Webinar
Learn about Algorithmic Differentiation (AD) with this webinar recording from numerical experts at NAG (Numerical Algorithms Group) who provide the world ...
Numerical Algorithms Group (NAG)
Flux: The Elegant Machine Learning Library | Mike Innes
Flux is a new machine learning library that's easy and intuitive to use with state-of-the-art performance. I'll show how we achieve this using Julia's advanced ...
The Julia Programming Language
Lec-31 Single Server Queueing Models
Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit ...
nptelhrd
The simple essence of automatic differentiation
An invited talk for PEPM 2018. Abstract & slides: https://github.com/conal/talk-2018-essence-of-ad/blob/master/readme.md.
Conal Elliott
Ex: Average Rate of Change Application - Hot Air Balloon Function
This video explains how to find the average rate of change given the equation of a function rule that models the height of an air balloon as it rises.
Mathispower4u
Pattern Recognition [PR] Episode 9 - Logistic Regression - Function Fit
In this video, we learn how to estimate the parameters of the logistic function effectively. This video is released under CC BY 4.0. Please feel free to share and ...
Andreas Maier
Mod-01 Lec-10 Weierstrass Theorem and Polynomial Approximation
Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
