EEVblog #420 - What Is Calibration?
Peter Daly, metrologist at Agilents world leading standards & calibration laboratory in Melbourne explains what calibration is. Forum Topic: http://www.eevblog.com/forum/blog/eevblog-420-what-is-calibration/ EEVblog Main Web Site: http://www.eevblog.com EEVblog Amazon Store: http://astor
From playlist Calibration & Standards
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
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
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.
From playlist Learning medical statistics with python and Jupyter notebooks
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
Identify the Level of Measurement MyMathlab Statistics Homework
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Identify the Level of Measurement MyMathlab Statistics Homework
From playlist Statistics
Recent progress in predictive inference - Emmanuel Candes, Stanford University
Emmanuel Candes - Stanford University Machine learning algorithms provide predictions with a self-reported confidence score, but they are frequently inaccurate and uncalibrated, limiting their use in sensitive applications. This talk introduces novel calibration techniques addressing two
From playlist Interpretability, safety, and security in AI
Cynthia Dwork - The Calculus of Inclusion - IPAM at UCLA
Recorded 20 July 2022. Cynthia Dwork of Harvard University presents "The Calculus of Inclusion" at IPAM's Who Counts? Sex and Gender Bias in Data workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/who-counts-sex-and-gender-bias-in-data/
From playlist 2022 Who Counts? Sex and Gender Bias in Data
Algorithmic fairness and individual probabilities - Cynthia Dwork, Harvard University
The theory of algorithmic fairness has given rise to new fundamental questions and new insights into old questions. This talk outlines one such question -- what is the meaning of an "individual probability"? -- situating the problem in the context of algorithmic fairness. We propose a noti
From playlist Interpretability, safety, and security in AI
Stanford CS229: Machine Learning | Summer 2019 | Lecture 19 - Maximum Entropy and Calibration
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3m4pnSp Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
A Complexity-Theoretic Perspective on Fairness - Michael P. Kim
Computer Science/Discrete Mathematics Seminar I Topic: A Complexity-Theoretic Perspective on Fairness Speaker: Michael P. Kim Affiliation: University of California, Berkeley; Visitor, School of Mathematics Date: May 10, 2021 For more video please visit https://www.ias.edu/video
From playlist Mathematics
Multi-group fairness, loss minimization and indistinguishability - Parikshit Gopalan
Computer Science/Discrete Mathematics Seminar II Topic: Multi-group fairness, loss minimization and indistinguishability Speaker: Parikshit Gopalan Affiliation: VMware Research Date: April 12, 2022 Training a predictor to minimize a loss function fixed in advance is the dominant paradigm
From playlist Mathematics
Tilmann Gneiting: Isotonic Distributional Regression (IDR) - Leveraging Monotonicity, Uniquely So!
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 02, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Guy Rothblum and Omer Reingold - A Multi-Group Approach to Algorithmic Fairness - IPAM at UCLA
Recorded 19 July 2022. Guy Rothblum of Apple Inc. and Omer Reingold of Stanford University present "A Multi-Group Approach to Algorithmic Fairness" at IPAM's Who Counts? Sex and Gender Bias in Data workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/who-counts-sex-a
From playlist 2022 Who Counts? Sex and Gender Bias in Data
Promises and challenges of Deep Learning in Cosmology - Lanusse - Workshop 2 - CEB T3 2018
Francois Lanusse (Camegie Mellon University) / 24.10.2018 Promises and challenges of Deep Learning in Cosmology ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ T
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Adam Oberman: "Contributions to deep learning using a mathematical approach: improved model unce..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop I: Individual Vehicle Autonomy: Perception and Control "Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs" Ad
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
EEVblog #374 - DIY Multimeter Calibration
How Dave checks the "calibration" of the multimeters in his lab. Forum Topic: http://www.eevblog.com/forum/blog-specific/eevblog-374-diy-multimeter-calibration/ EEVblog Main Web Site: http://www.eevblog.com EEVblog Amazon Store: http://astore.amazon.com/eevblogstore-20 Donations: http://w
From playlist Calibration & Standards