Model selection | Statistical classification
In statistics and machine learning, double descent is the phenomenon where a statistical model with a small number of parameters and a model with an extremely large number of parameters have a small error, but a model whose number of parameters is about the same as the number of data points used to train the model will have a large error. This phenomenon seems to contradict the bias-variance tradeoff in classical statistics, which states that having too many parameters will yield an extremely large error. (Wikipedia).
Solving an equation with variable on the same side
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations with Two Variables
How to solve a linear equation when there are no solutions
๐ Learn how to solve multi-step equations with parenthesis and variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To
From playlist How to Solve Multi Step Equations with Parenthesis on Both Sides
How to solve a multi step equation with a variable on both sides
๐ Learn how to solve multi-step equations with parenthesis and variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To
From playlist How to Solve Multi Step Equations with Parenthesis on Both Sides
How to solve simple two step equations
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations with a Fraction
Workshop on Theory of Deep Learning: Where next? Topic: Spotlight Talks Speaker: Vaishnavh Nagarajan, Preetum Nakkiran, Xiaowu Dai, Weijie Su Date: October 16, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Statistical Learning: 10.7 Interpolation and Double Descent
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Solving a multi-step equation by multiplying by the denominator
๐ Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist How to Solve Multi Step Equations with Variables on Both Sides
[LIVE] Rasa Reading Group: Grokking: Generalisation beyond overfitting on small algorithmic datasets
The Reading Group is back for special edition! Join us as we read an ML paper together live. This week we'll be reading the paper "Grokking: Generalisation beyond overfitting on small algorithmic datasets" by Alethea Power, Yuri Burda, Harri Edwards, Igor Babuschkin & Vedant Misra from Ope
From playlist Rasa Reading Group
Solving for X in an equation using subtraction and division
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations
Solving a linear equation with a variable divided by a number
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations with a Fraction
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
Solving and equation with the variable on the same side ex 3, 17=pโ3โ3p
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations with Two Variables
Solving a linear equation with a variable on both sides
๐ Learn how to solve multi-step equations with parenthesis and variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To
From playlist How to Solve Multi Step Equations with Parenthesis on Both Sides
Gradient Descent, Step-by-Step
Gradient Descent is the workhorse behind most of Machine Learning. When you fit a machine learning method to a training dataset, you're probably using Gradient Descent. It can optimize parameters in a wide variety of settings. Since it's so fundamental to Machine Learning, I decided to mak
From playlist Optimizers in Machine Learning
Machine Learning Lecture 36 "Neural Networks / Deep Learning Continued" -Cornell CS4780 SP17
Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote20.pdf
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
Brauer groups, Severi-Brauer schemes, Azumaya algebras, twisted sheaves
From playlist รtale cohomology and the Weil conjectures
Wee Teck Gan - 2/2 Explicit Constructions of Automorphic Forms
I will discuss the theory of theta correspondence, highlighting basic principles and recent results, before explaining how theta correspondence can now be viewed as part of the relative Langlands program. I will then discuss other methods of construction of automorphic forms, such as autom
From playlist 2022 Summer School on the Langlands program
รtale cohomology lecture IV - 9/1/2020
Morphisms of sites, fppf descent part 1
From playlist รtale cohomology and the Weil conjectures
The Seemingly IMPOSSIBLE Cyclist And Motorcycles Riddle
Thanks to Alessio from Italy for creating this problem and sending it to me! A cyclist and a series of motorcycles are racing to the top of a long climb, and the cyclist doubles back. Given how many motorcycles passed the cyclist, can you figure out the motorcycles' speed? (precise wording
From playlist Math Puzzles, Riddles And Brain Teasers
Solving an equation by combining like terms
๐ Learn how to solve two step linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. To solve for a variable in a two step linear equation, we first isolate the variable by using inverse operations (addition or subtraction) to move like terms to
From playlist Solve Two Step Equations with Two Variables