Normal distribution | Poisson distribution
In statistics, the Anscombe transform, named after Francis Anscombe, is a variance-stabilizing transformation that transforms a random variable with a Poisson distribution into one with an approximately standard Gaussian distribution. The Anscombe transform is widely used in photon-limited imaging (astronomy, X-ray) where images naturally follow the Poisson law. The Anscombe transform is usually used to pre-process the data in order to make the standard deviation approximately constant. Then denoising algorithms designed for the framework of additive white Gaussian noise are used; the final estimate is then obtained by applying an inverse Anscombe transformation to the denoised data. (Wikipedia).
Why statistics is always misleading ?
Anscombe’s Quartet and Datasaurus demonstrate that statistical values are there for reference only. Does it imply that they are useless ? Well, in this video I tell you about Netflix Prize and how it was “hacked” to demonstrate how important data confidentiality is and how stats can help
From playlist Something you did not know...
Electrical Engineering: Ch 19: Fourier Transform (1 of 45) What is a Fourier Transform?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is a Fourier transform and how is it different from the Fourier series. Next video in this series can be seen at: https://youtu.be/fMHk6_1ZYEA
From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM
Animated Mandelbrot transform - linear interpolation
http://code.google.com/p/mandelstir/
From playlist mandelstir
The Two-Dimensional Discrete Fourier Transform
The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen
From playlist Fourier
Electrical Engineering: Ch 19: Fourier Transform (2 of 45) What is a Fourier Transform? Math Def
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the mathematical definition and equation of a Fourier transform. Next video in this series can be seen at: https://youtu.be/yl6RtWp7y4k
From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM
Statistics lesson everyone should know
This is why you should always visualize your data! #shorts #math #maths #mathematics #statistics Anscombe quartet https://en.wikipedia.org/wiki/Anscombe%27s_quartet Same Stats, Different Graphs. Justin Matejka, George Fitzmaurice https://www.autodesk.com/research/publications/same-stats
From playlist Math Shorts
How do I... FIND SPEARMAN'S RHO in Jamovi? (2022)
What if my correlation variables violate normality assumptions or I have ordinal level variables? What sort of analysis/statistic can I use? I have the answers and more in this next episode of learning stats with Jamovi! Jamovi stats: https://www.jamovi.org/ NOTE: My tutorials always us
From playlist Jamovi 2022 Tutorials
Introduction to the z-Transform
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introduces the definition of the z-transform, the complex plane, and the relationship between the z-transform and the discrete-time Fourier transfor
From playlist The z-Transform
We go over the entirety of seaborn's lmplot. We talk about factor grids and doing conditional linear regression. We talk about logistic, log transformed and lowess regression. This one was a big one, and a lot of fun, hope you enjoyed! Associated Github Commit: https://github.com/knathani
From playlist Seaborn: Understanding the Weird Parts
Siddharth Vishwanath (8/3/20): Statistical invariance of Betti numbers in the thermodynamic regime
Title: Statistical invariance of Betti numbers in the thermodynamic regime Abstract: Suppose we are given a family of probability distributions indexed by a parameter set, and a point-cloud observed i.i.d. at random from a distribution belonging to this family. The asymptotic behaviour of
From playlist ATMCS/AATRN 2020
3.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
In this video, part of my series on "Machine Learning", I explain how to perform Linear Regression for a 2D dataset using the Ordinary Least Squares method. In Part 2, I demonstrate how to code the algorithm in JavaScript, using the p5.js library This video is part of session 3 of my Spri
From playlist Session 3 - Intro to Machine Learning - Intelligence and Learning
3.3: Linear Regression with Ordinary Least Squares Part 2 - Intelligence and Learning
In this video, part of my series on "Machine Learning", I explain how to perform Linear Regression for a 2D dataset using the Ordinary Least Squares method. This is Part 2 where I demonstrate how to code the algorithm in JavaScript, using the p5.js library Link to Part 1: https://youtu.be
From playlist Session 3 - Intro to Machine Learning - Intelligence and Learning
The Fourier Transform and Derivatives
This video describes how the Fourier Transform can be used to accurately and efficiently compute derivatives, with implications for the numerical solution of differential equations. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow
From playlist Fourier
Integral Transforms Lecture 1: Motivation & Introduction. Oxford Mathematics 2nd Yr Student Lecture
This short course from Sam Howison, all 9 lectures of which we are making available (this is lecture 1), introduces two vital ideas. First, we look at distributions (or generalised functions) and in particular the mathematical representation of a 'point mass' as the Dirac delta function.
From playlist Oxford Mathematics Student Lectures - Integral Transforms
Weta Workshop's 3D-Printed Giant Eyeballs!
When Adam visited Weta Workshop early last year, he stopped by their 3D printing lab to check out their research and experiments in 3D printing full-color eyeballs for exhibition figures and effects work. Weta Workshop's Richard Taylor and 3D artist Tor Robinson show Adam examples of anato
From playlist 3D Printing-Related Videos
Wittgenstein - The Subliming of the Object of Philosophical Investigation
James Conant and Cora Diamond discuss Wittgenstein from the 5th Ludwig Wittgenstein Summer School, on the topic of Wittgenstein’s Conception of Philosophy: Philosophical Investigations, Sections 93 – 133, August 6, 2013, Kirchberg am Wechsel, Austria. This is a re-upload from the other ch
From playlist Wittgenstein
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations