Biological Classification of Hierarchy || #Shorts || Deveeka Ma'am || Infinity Learn Class 9&10
Biological classification is the scientific method of organizing and categorizing living organisms based on shared characteristics. This system allows us to study the diversity of life on Earth and understand how different species are related to one another. The hierarchy of biological cla
From playlist Shorts
An exploration of the Hierarchy of Operations for the SoME1 competition by 3Blue1Brown.
From playlist Summer of Math Exposition Youtube Videos
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Definition of a Z-Score
From playlist Statistics
The Vocabulary of Statistics – Terminology for Beginning Statistics (1-1)
Welcome to the study of statistics! We will begin with an introduction to some new terminology that we will be using in our adventure. I will introduce you to four goals of statistics (to collect, organize, analyze, and interpret data), three meanings of the word “statistics” (practice, pr
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
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
A Gentle Introduction to z Scores (9-1)
A z score tells you how far a raw score deviates from the mean when measured in standard deviation units. There are two parts to a z score: the number and a sign. The sign tells you whether the z score is above or below the mean. The number tells distance between the score and mean in term
From playlist WK9 Using z Scores and the z Test in Statistics - Online Statistics for the Flipped Classroom
From playlist Hierarchical Clustering
MIT 18.404J Theory of Computation, Fall 2020 Instructor: Michael Sipser View the complete course: https://ocw.mit.edu/18-404JF20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY Quickly reviewed last lecture. Finished Immerman-Szelepcsenyi theorem
From playlist MIT 18.404J Theory of Computation, Fall 2020
Petr Zograf - Enumeration of Grothendieck's dessins and KP hierarchy
Branched covers of the complex projective line ramified over 0,1 and infinity (Grothendieck's dessins d'enfant) of fixed genus and degree are effectively enumerated. More precisely, branched covers of a given ramification profile over infinity and given numbers of preimages
From playlist Physique mathématique des nombres de Hurwitz pour débutants
Tableau Training For Beginners | Tableau Tutorial | Tableau Tutorial For Beginners | Simplilearn
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An average-case depth hierarchy theorem for Boolean - Li-Yang Tan
Computer Science/Discrete Mathematics Seminar I Topic: An average-case depth hierarchy theorem for Boolean circuits I Speaker: Li-Yang Tan Affiliation: Toyota Technological Institute, Chicago Date: Monday, April 4 We prove an average-case depth hierarchy theorem for Boolean circuits
From playlist Mathematics
Statistics - Levels of measurement
In this video I'll go over the categories for classifying data such as nominal, ordinal, interval, and ratio. To classify these remember to ask questions like, "can the data be ordered?" For more videos please visit http://www.mysecretmathtutor.com
From playlist Statistics
Structured Regularization Summer School - A. Montanari - 2/4 - 20/06/2017
Andrea Montanari (Stanford): Matrix and graph estimation Abstract: Many statistics and unsupervised learning problems can be formalized as estimating a structured matrix or a graph from noisy or incomplete observations. These problems present a large variety of challenges, and an intrigu
From playlist Structured Regularization Summer School - 19-22/06/2017
Cosmology with LSS (Lecture 3) by John Peacock
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
A Web-scale system for scientific knowledge exploration | AISC
Discussion Lead: Ramya Balasubramaniam Facilitators: Ehsan Amjadian , Karim Khayrat For more details including paper and slides, visit https://aisc.a-i.science/events/2019-05-02/
From playlist Machine Learning for Scientific Discovery
Li Chen: Combined mean-field and semiclassical limits of large fermionic systems
In this talk I will present the approach that using time evolution of Husimi measure of the N particle wave function to get the convergence of Schrödinger to Vlasov equation in the mean field and semiclassical regime. By a reformulation of the many particle Schrödinger equation, one can ge
From playlist Analysis and its Applications
22. Provably Intractable Problems, Oracles
MIT 18.404J Theory of Computation, Fall 2020 Instructor: Michael Sipser View the complete course: https://ocw.mit.edu/18-404JF20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY Quickly reviewed last lecture. Introduced exponential complexity clas
From playlist MIT 18.404J Theory of Computation, Fall 2020
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
!!COn 2020 - Supercharged Dijkstra’s: Computing ‘shortest’ paths on large road... by Payas Rajan
Supercharged Dijkstra’s: Computing ‘shortest’ paths on large road graphs in microseconds! by Payas Rajan Road networks are often modeled as graphs with millions of edges, and finding a ‘shortest’ path on them is a fundamental operation for several applications. When Fibonacci heaps are us
From playlist !!Con 2020