Parameter

Populations, Samples, Parameters, and Statistics

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From playlist Statistics

What does the parameter mean? (1 of 2: Exploring the derivatives)

More resources available at www.misterwootube.com

From playlist Further Work with Functions

Inverse normal with Z Table

Determining values of a variable at a particular percentile in a normal distribution

From playlist Unit 2: Normal Distributions

Statistics Lecture 1.1 Part 2

Statistics Lecture 1.1 Part 2: Key Words and Definitions

From playlist Statistics Playlist 1

Statistic vs Parameter & Population vs Sample

This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo

From playlist Statistics

More Standard Deviation and Variance

Further explanations and examples of standard deviation and variance

From playlist Unit 1: Descriptive Statistics

Percentiles, Deciles, Quartiles

Understanding percentiles, quartiles, and deciles through definitions and examples

From playlist Unit 1: Descriptive Statistics

Statistics v Parameters

sample statistics versus population parameters

From playlist Unit 1: Descriptive Statistics

Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

Parameters In Tableau | Tableau Parameters Tutorial | Tableau Training For Beginners | Simplilearn

🔥 Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=TableauDashboard-pTqZyUmCdFk&utm_medium=DescriptionFF&utm_source=youtube 🔥 Professional Certificate Program In Data Analytics: https://www.si

From playlist 🔥Tableau | Tableau Tutorial For Beginners | Data Analytics With Tableau | Tableau Projects | Updated Tableau Playlist 2023 | Simplilearn

Sensitivity Analysis

Overview of various methods for sensitivity analysis in the UQ of subsurface systems

From playlist Uncertainty Quantification

A Crash Course in Writing Your Own PSScriptAnalyzer Rules by Thomas Rayner

PSScriptAnalyzer is great. You use it to check all your code to make sure it follows PowerShell best practices, right? In this session, I'll show you how to take your PSScriptAnalyzer skills to the next level by showing you how to write your own custom rules, and make PSSA check your code

From playlist PowerShell + DevOps Global Summit 2018

A Crash Course in Writing Your Own PSScriptAnalyzer Rules by Thomas Rayner

A Crash Course in Writing Your Own PSScriptAnalyzer Rules by Thomas Rayner PSScriptAnalyzer is great. You use it to check all your code to make sure it follows PowerShell best practices, right? In this session, I'll show you how to take your PSScriptAnalyzer skills to the next level by sh

From playlist PowerShell + DevOps Global Summit 2018

Power Plant Model Validation (PPMV) with MATLAB and Simulink, Part 4

Automated parameter sensitivity is used to assess and rank the influence of system parameters on system response. Reactive-power (PQ) replay and voltage and frequency (VF) replay are used simultaneously for automated parameter sensitivity to gain deeper insights on the effect of parameter

From playlist Power Plant Model Validation (PPMV) with MATLAB and Simulink

iMAML: Meta-Learning with Implicit Gradients (Paper Explained)

Gradient-based Meta-Learning requires full backpropagation through the inner optimization procedure, which is a computational nightmare. This paper is able to circumvent this and implicitly compute meta-gradients by the clever introduction of a quadratic regularizer. OUTLINE: 0:00 - Intro

From playlist Papers Explained

Topology in statistical physics - 4 by Subhro Bhattacharjee

PROGRAM BANGALORE SCHOOL ON STATISTICAL PHYSICS - XI (ONLINE) ORGANIZERS: Abhishek Dhar and Sanjib Sabhapandit DATE: 29 June 2020 to 10 July 2020 VENUE: Online Due to the ongoing COVID-19 pandemic, the original program has been canceled. However, the school will be conducted through o

From playlist Bangalore School on Statistical Physics - XI (Online)

How to find the best model parameters in scikit-learn

In this video, you'll learn how to efficiently search for the optimal tuning parameters (or "hyperparameters") for your machine learning model in order to maximize its performance. I'll start by demonstrating an exhaustive "grid search" process using scikit-learn's GridSearchCV class, and

From playlist Machine learning in Python with scikit-learn

Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?"

Deep Learning and Combinatorial Optimization 2021 "How much data is sufficient to learn high-performing algorithms?" Ellen Vitercik - Carnegie Mellon University Abstract: Algorithms often have tunable parameters that have a considerable impact on their runtime and solution quality. A gro

From playlist Deep Learning and Combinatorial Optimization 2021

Building Strongly Typed REST Clients with TypeScript

In this talk we'll use TypeScript to create a client library that works with a REST API. Come see how we create a type-safe client with tooling tailored to your service. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Li

From playlist TypeScript

Intro to a Variable as a Changing Value or Placeholder

This video defines a variable and provides examples of a variable used as a changing value or a placeholder http://mathispower4u.com

From playlist Algebraic Structures Module