(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
Systems of Equations with Elimination Two Variables Two Equations Example 1
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From playlist Systems of Equations
A02 Independence of the solution set
The independence of a linear system. How to make sure that a set of solutions are not constant multiples of each other.
From playlist A Second Course in Differential Equations
Systems of Equations with Elimination Two Variables Two Equations Example 2
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Systems of Equations with Elimination Two Variables Two Equations Example 2
From playlist Systems of Equations
(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
Solving two step equations with a rational expression on one side
👉 Learn how to solve two step rational linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. A rational equation is an equation containing at least one fraction whose numerator and (or) denominator are polynomials. To solve for a variable in a
From playlist Solve Two Step Equations with a Rational Fraction
Solving a two step equation with a rational expressions
👉 Learn how to solve two step rational linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. A rational equation is an equation containing at least one fraction whose numerator and (or) denominator are polynomials. To solve for a variable in a
From playlist Solve Two Step Equations with a Rational Fraction
Solving and equation with the variable on the same side ex 3, 17=p–3–3p
👉 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
21. Hypothesis Testing and Random Walks
MIT 6.262 Discrete Stochastic Processes, Spring 2011 View the complete course: http://ocw.mit.edu/6-262S11 Instructor: Robert Gallager License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.262 Discrete Stochastic Processes, Spring 2011
"Data-Driven Optimization in Pricing and Revenue Management" by Arnoud den Boer - Lecture 2
In this course we will study data-driven decision problems: optimization problems for which the relation between decision and outcome is unknown upfront, and thus has to be learned on-the-fly from accumulating data. This type of problems has an intrinsic tension between statistical goals a
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
The natural capital approach... - Bateman - Workshop 3 - CEB T3 2019
Bateman (University of Exeter) / 06.12.2019 The natural capital approach to integrating the environment into economic decision making ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.c
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Recorded 28 February 2023. Priya Donti of Cornell University presents "Optimization-in-the-loop AI for energy and climate" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: Addressing climate change will require concerted action across society, including the d
From playlist 2023 Artificial Intelligence and Discrete Optimization
Анализ Социальных Сетей II. Лекция 4. Пороговые модели влияния
Слайды: http://www.leonidzhukov.net/hse/2014/socialnetworks/lectures2/lecture4.pdf Распространение вляния. Пороговые модели принятия решений.Модель Гранноветера. Определение наиболее влиятельных узлов. Threshold models and Influence maximization. Social diffusion. Granovetter's Threshol
From playlist Анализ Социальных Сетей. Курс НИУ ВШЭ
Making Decisions under Model Misspecification & Star-shaped Risk Measures - Maccheroni & Marinacci
Prof. Fabio Maccheroni & Prof. Massimo Marinacci - Making Decisions under Model Misspecification & Star-shaped Risk Measures Making Decisions under Model Misspecification (45min) Authors Simone Cerreia-Vioglio, Lars Peter Hansen, Fabio Maccheroni, Massimo Marinacci Abstract We use de
From playlist Uncertainty and Risk
Bayesian Optimization in the Wild: Risk-Averse Decisions and Budget Constraints
A Google TechTalk, presented by Anastasia Makarova, 2022/08/23 Google BayesOpt Speaker Series - ABSTRACT: Black-box optimization tasks frequently arise in high-stakes applications such as material discovery or hyperparameter tuning of complex systems. In many of these applications, there i
From playlist Google BayesOpt Speaker Series 2021-2022
[BOURBAKI 2019] Transition de phase abrupte en percolation via (...) - Théret - 15/06/19
Marie THÉRET Transition de phase abrupte en percolation via des algorithmes randomisés, d’après Duminil-Copin, Raoufi et Tassion Le modèle de percolation classique est le suivant : pour un paramètre p ∈ [0, 1] fixé, chaque arête du graphe Zd est conservée (resp. supprimée) avec probabili
From playlist BOURBAKI - 2019
DDPS | Incorporating power system physics into deep learning via implicit layers
Talk Abstract Deep learning methods notoriously have difficulty capturing the physics and hard constraints associated with the systems in which they operate, often limiting their practical use. In this talk, I will present a general framework for incorporating such information into deep n
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Solving an equation by combining like terms 6=5c–9–2c
👉 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
Dr Natalia Bochkina, Edinburgh University
Natalia Bochkina joined the University of Edinburgh as a Lecturer in Statistics in 2007. In 2003-2007 she was a postdoc at the Biostatistics group at the Imperial College London working on the collaborative project building a biological atlas of insulin resistance. In 2002-2003 she was a s
From playlist Short Talks