Taylor's Theorem with Remainder
This videos shows how to determine the error when approximating a function value with a Taylor polynomial. http://mathispower4u.yolasite.com/
From playlist Infinite Sequences and Series
What is the max and min of a horizontal line on a closed interval
👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points
From playlist Extreme Value Theorem of Functions
How to determine the max and min of a sine on a closed interval
👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points
From playlist Extreme Value Theorem of Functions
Find the max and min from a quadratic on a closed interval
👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points
From playlist Extreme Value Theorem of Functions
Calculus BC - Unit 5 Lesson 2: Lagrange Error Bound
Calculus BC - Taylor's Remainder Theorem and the Lagrange Error Bound
From playlist AP Calculus BC
Find the max and min of a linear function on the closed interval
👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points
From playlist Extreme Value Theorem of Functions
How to determine the absolute max min of a function on an open interval
👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points
From playlist Extreme Value Theorem of Functions
Using parent graphs to understand the left and right hand limits
👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Statistical Rethinking - Lecture 05
Lecture 05, Multivariate models, from Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Paris Perdikaris: "Overcoming gradient pathologies in constrained neural networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Overcoming gradient pathologies in constrained neural networks" Paris Perdikaris - University of Penns
From playlist Machine Learning for Physics and the Physics of Learning 2019
JASP - Multiple Linear Regression
Lecturer: Dr. Erin M. Buchanan Spring 2020 Finish out the regression series by checking out this video on multiple linear regression. This video follows our simple linear regression model from JASP! Learn more and find our documents on our OSF page: https://osf.io/t56kg/. Look at our bas
From playlist Learn JASP + Statistics
15b Machine Learning: Gradient Boosting
Lecture on ensemble machine learning with boosting with a demonstration based on tree based boosting.
From playlist Machine Learning
DDPS | "When and why physics-informed neural networks fail to train" by Paris Perdikaris
Physics-informed neural networks (PINNs) have lately received great attention thanks to their flexibility in tackling a wide range of forward and inverse problems involving partial differential equations. However, despite their noticeable empirical success, little is known about how such c
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Evaluate the limit for a value of a function
👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
[Classic] Deep Residual Learning for Image Recognition (Paper Explained)
#ai #research #resnet ResNets are one of the cornerstones of modern Computer Vision. Before their invention, people were not able to scale deep neural networks beyond 20 or so layers, but with this paper's invention of residual connections, all of a sudden networks could be arbitrarily de
From playlist Papers Explained
20 Data Analytics: Decision Tree
Lecture on decision tree-based machine learning with workflows in R and Python and linkages to bagging, boosting and random forest.
From playlist Data Analytics and Geostatistics
Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (algorithm) | AISC
Toronto Deep Learning Series, 10 December 2018 Paper: https://arxiv.org/abs/1807.06906 Discussion Lead: Mark Donaldson (Ryerson University) Discussion Facilitator: Masoud Hashemi (RBC) Host: Shopify Date: Dec 10th, 2018 Towards Automated Deep Learning: Efficient Joint Neural Architectu
From playlist Architecture Tuning
Linear Regression in R | Linear Regression Model in R | R Programming Tutorial | Edureka
** Data Science Certification Course using R: https://www.edureka.co/data-science-r-programming-certification-course ** This R tutorial gives an introduction to Linear Regression in R tool. This R tutorial is specially designed to help beginners. View upcoming batches schedule: http://goo.
From playlist Data Analytics with R Tutorial Videos
R - Latent Growth Models Lecture
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom In this section, you will learn about latent growth models and how to analyze them in a similar fashion to multilevel models. You can learn more at: https://statisticsofdoom.com/page/structural-equation
From playlist Structural Equation Modeling 2020
Evaluate the limit of an absolute value function by direct substitution
👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value