Classification algorithms | Statistical classification
Multiple Discriminant Analysis (MDA) is a multivariate dimensionality reduction technique. It has been used to predict signals as diverse as neural memory traces and corporate failure. MDA is not directly used to perform classification. It merely supports classification by yielding a compressed signal amenable to classification. The method described in Duda et al. (2001) Β§3.8.3 projects the multivariate signal down to an Mβ1 dimensional space where M is the number of categories. MDA is useful because most classifiers are strongly affected by the curse of dimensionality. In other words, when signals are represented in very-high-dimensional spaces, the classifier's performance is catastrophically impaired by the overfitting problem. This problem is reduced by compressing the signal down to a lower-dimensional space as MDA does. MDA has been used to reveal neural codes. (Wikipedia).
How to solve an equation with the multiple angle of secant
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Learn how to find multiple solutions to a trigonometric equation
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trig Equations [0,2pi) (Multi)(Power) #AnalyticTrig
Solving a multiple angel trigonometric equation between 0,2pi
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trig Equations [0,2pi) (Multi) #AnalyticTrig
Solving trigonometric equations with multiple angles
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Solving trigonometric equations with multiple angles
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Solving for cosine using multiple angles
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Solving a multi-step equation by multiplying by the denominator
π Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist How to Solve Multi Step Equations with Variables on Both Sides
Galois groups of random integer polynomials - Manjul BharΔava
Joint IAS/Princeton University Number Theory Seminar Topic: Galois groups of random integer polynomials Speaker: Manjul BharΔava Affiliation: Princeton University Date: April 21, 2022Β Of the (2H+1)n monic integer polynomials f(x)=xn+a1xnβ1+β―+an with max{|a1|,β¦,|an|}β€H, how many have ass
From playlist Mathematics
Statistical Learning: 4.5 Discriminant Analysis
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Solving an equation with distributive property on both sides
π Learn how to solve multi-step equations with parenthesis and variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To
From playlist Solve Multi-Step Equations......Help!
R - Item Response Theory Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers Item Factor Analysis and Item Response Theory from the Beaujean SEM in R book. IRT information also pulled from StatsCamp materials taught by William Skorupski (highly recommend his class!). Both dic
From playlist Structural Equation Modeling
On Random Polynomials and Counting Number Fields: Fourier Analysis Meets Arith... - Theresa Anderson
Workshop on Dynamics, Discrete Analysis and Multiplicative Number Theory 2:00pm β 3:00pm Simonyi Hall 101 and Remote Access Topic: On Random Polynomials and Counting Number Fields: Fourier Analysis Meets Arithmetic Statistics Speaker: Theresa Anderson Affiliation: Carnegie Mellon Universit
From playlist Mathematics
Statistical Learning: 4.9 Quadratic Discriminant Analysis and Naive Bayes
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Learning: 4.7 Gaussian Discriminant Analysis (Many Variables)
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Packages needed: lavaan, semPlot Class assignment for structural equation modeling. Topic covers how program a multitrait-multimethod analysis (Widaman Steps), analysis steps to this analysis, interpret the loadings, and determine conve
From playlist Structural Equation Modeling
R - Item Response Theory Lecture
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom In our last lecture for SEM, you will learn about item response theory as a complement to confirmatory factor analysis. We will briefly cover 2PL, 3PL, and graded response models. You can learn more at:
From playlist Structural Equation Modeling 2020
Solving an equation with cosine of a multiple angle
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations with Multi Angles
Learn to solve multiple angles in trigonometry
π Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given
From playlist Solve Trigonometric Equations
Statistical Rethinking 2023 - 09 - Modeling Events
Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro: https://www.youtube.com/watch?v=kFRdoYfZYUY River: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tide machine: https://www.youtube.com/watch?v=sAyVcM3g4q4
From playlist Statistical Rethinking 2023