Info-metrics is an interdisciplinary approach to scientific modeling, inference and efficient information processing. It is the science of modeling, reasoning, and drawing inferences under conditions of noisy and limited information. From the point of view of the sciences, this framework is at the intersection of information theory, statistical methods of inference, applied mathematics, computer science, econometrics, complexity theory, decision analysis, modeling, and the philosophy of science. Info-metrics provides a constrained optimization framework to tackle under-determined or ill-posed problems – problems where there is not sufficient information for finding a unique solution. Such problems are very common across all sciences: available information is incomplete, limited, noisy and uncertain. Info-metrics is useful for modelling, information processing, theory building, and inference problems across the scientific spectrum. The info-metrics framework can also be used to test hypotheses about competing theories or causal mechanisms. (Wikipedia).
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Using Dimensional Analysis to Find the Units of a Constant
This video shows you how to use dimensional analysis to find the units for constants in physics and chemistry equations. For example, why are the units for the gravitational constant (G) newtons, meters squared over kilograms squared. Dimensional analysis in physics is an important tool t
From playlist Metric Units
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)
Scales of Measurement - Nominal, Ordinal, Interval, & Ratio Scale Data
This statistics video tutorial provides a basic introduction into the different forms of scales of measurement such as nominal, ordinal, interval, and ratio scale data. My Website: https://www.video-tutor.net Patreon Donations: https://www.patreon.com/MathScienceTutor Amazon Store: htt
From playlist Statistics
Introduction to standard deviation, IQR [Inter-Quartile Range], and range
From playlist Unit 1: Descriptive Statistics
Introduction to Geometer's Sketchpad: Measurements
This video demonstrates some of the measurement and calculation features of Geometer's Sketchpad.
From playlist Geometer's Sketchpad
Micrometer/diameter of daily used objects.
What was the diameter? music: https://www.bensound.com/
From playlist Fine Measurements
Metric Units of Measurement (1 of 3: Overview of various metric units)
More resources available at www.misterwootube.com
From playlist Applications of Measurement
Ruby Conf 12 - Your App is not a Black Box by Josh Kalderimis
This talk is part story, part code, and part mustache. Travis CI is a distributed continuous integration system running over 7,000 tests daily. For us to get a true insight into what is going on behind the scenes we have had to come a long way by integrating and building both tools and li
From playlist Ruby Conference 2012
Jan Van den Brand: From Interior Point Methods to Data Structures and back
Linear Programs (LPs) capture many optimization problems such as shortest paths or bipartite matching. In the past years, there have been substantial improvements for LP solvers resulting in algorithms that run in nearly linear time for dense LPs. This also led to a nearly linear time algo
From playlist Workshop: Continuous approaches to discrete optimization
RustCamp 2015 - Graphite-Rust: A Fast Time Series Database Implementation by Xavier Lange
Graphite-Rust: A Fast Time Series Database Implementation by Xavier Lange Time series databases are the backbone of metrics gathering in large computer systems. The most popular service is a difficult to understand and suboptimal implementation done in Python. Rust's strong typing, safe d
From playlist RustCamp 2015
PowerShell+ 2019 - Monitoring Out, Observability In by Ebru Cucen
Reading the instrumentation of the applications does not help to understand whole application lifecycle, but observability does. In this talk, Ebru will go over the tips and tricks to get the applications observable, from the initial idea to the working product. PowerShell Summit videos a
From playlist PowerShell + DevOps Global Summit 2019
Bernd Ammann - Yamabe constants, Yamabe invariants, and Gromov-Lawson surgeries
In this talk I want to study the (conformal) Yamabe constant of a closed Riemannian (resp. conformal) manifold and how it is affected by Gromov-Lawson type surgeries. This yields information about Yamabe invariants and their bordism invariance. So far the talk gives an overview over older
From playlist Not Only Scalar Curvature Seminar
Jens Kaad: Exterior products of compact quantum metric spaces
Talk by Jens Kaad in Global Noncommutative Geometry Seminar (Europe) http://www.noncommutativegeometry.nl/ncgseminar/ on November 24, 2020.
From playlist Global Noncommutative Geometry Seminar (Europe)
How to Write Macros for SUBTOTAL Formulas - Clip from Live Q&A Meeting
This video is a clip from a live followup Q&A meeting after one of my webinars, where I explain how to write a macro to create SUBTOTAL formulas in Excel. I briefly explain how to find the last used cell in a range, and then place the formula in a cell below the last used cell. Download t
From playlist Formulas & Functions
Andre Nies: Randomness connecting to set theory and to reverse mathematics
Abstract : I will discuss two recent interactions of the field called randomness via algorithmic tests. With Yokoyama and Triplett, I study the reverse mathematical strength of two results of analysis. (1) The Jordan decomposition theorem says that every function of bounded variation is th
From playlist Logic and Foundations
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to Statistics - Quantitative Data versus Qualitative Data
From playlist Statistics