Duality theories | Convex geometry | Functional analysis
In geometry, a supporting hyperplane of a set in Euclidean space is a hyperplane that has both of the following two properties: * is entirely contained in one of the two closed half-spaces bounded by the hyperplane, * has at least one boundary-point on the hyperplane. Here, a closed half-space is the half-space that includes the points within the hyperplane. (Wikipedia).
In this video we talk about hyperbolas. We go over everything you need to do problems with hyperbolas including graphing, finding the foci, vertices, asymptotes, domain and range. We also go over both cases, hyperbolas that open left/right and up/down. Two complete examples are given, one
From playlist Hyperbolas
Flying Dragon Wooden Toy 3D Model
Based on another video from Youtube (https://www.youtube.com/watch?v=BivrdzMSQiI). I made my own mechanisms, since there were no details. New version at https://youtu.be/nrNf4KOg7G0.
From playlist Wooden Toys
Machine Learning Lecture 15 "(Linear) Support Vector Machines continued" -Cornell CS4780 SP17
Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote09.html
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
I work through 2 examples of Application of Hyperbolas Find free review test, useful notes and more at http://www.mathplane.com If you'd like to make a donation to support my efforts look for the "Tip the Teacher" button on my channel's homepage www.YouTube.com/Profrobbob
From playlist PreCalculus
Hyperbola 3D Animation | Objective conic hyperbola | Digital Learning
Hyperbola 3D Animation In mathematics, a hyperbola is a type of smooth curve lying in a plane, defined by its geometric properties or by equations for which it is the solution set. A hyperbola has two pieces, called connected components or branches, that are mirror images of each other an
From playlist Maths Topics
Support Vector Machines - Part 2a: Linearly Separable Case
This video is about Support Vector Machines - Part 2a: Linearly Separable Case Abstract: This is a series of videos about Support Vector Machines (SVMs), which will walk through the introduction, the working principle and theory covering a linearly separable case, non-separable case, nonl
From playlist Machine Learning
Support Vector Machines: Slack Variables
Note: I seem to be incapable of pronouncing https://en.wikipedia.org/wiki/Xi_(letter)
From playlist Machine Learning
Support Vector Machines (Intro)
SVM for classification, hard margin and soft margin problems, translating to quadratic programming
From playlist Support Vector Machines
Statistical Learning: 9.1 Optimal Separating Hyperplane
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
Applications of rational spherical trigonometry I | Universal Hyperbolic Geometry 43 | NJ Wildberger
We review the basics of rational spherical/elliptic trigonometry, a cleaner more logical view of classical spherical trigonometry which is intimately linked with hyperbolic geometry. We illustrate the basic laws by having an in-depth look at a specific example of a spherical triangle, fo
From playlist Universal Hyperbolic Geometry
Support Vector Machine Tutorial Using R | SVM Algorithm Explained | Data Science Training | Edureka
** Data Science Certification using R: https://www.edureka.co/data-science-r-programming-certification-course ** This session is dedicated to how SVM works, the various features of SVM and how it used in the real world. The following topics will be covered today: (01:15) Introduction to m
From playlist Data Science Training Videos
Support Vector Machine - How Support Vector Machine Works | SVM In Machine Learning | Simplilearn
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=MachineLearning-TtKF996oEl8&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootc
From playlist Machine Learning with Python | Complete Machine Learning Tutorial | Simplilearn [2022 Updated]
Support Vector Machines - THE MATH YOU SHOULD KNOW
In this video, we are going to see exactly why SVMs are so versatile by getting into the math that powers it. If you like this video and want to see more content on data Science, Machine learning, Deep Learning and AI, hit that SUBSCRIBE button. And ring that damn bell for notifications
From playlist The Math You Should Know
Lecture 2 | Convex Optimization I (Stanford)
Guest Lecturer Jacob Mattingley covers convex sets and their applications in electrical engineering and beyond for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex se
From playlist Lecture Collection | Convex Optimization
Machine Learning Lecture 14 "(Linear) Support Vector Machines" -Cornell CS4780 SP17
Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote09.html
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
Support Vector Machine in R | SVM Algorithm Explained with Example | Data Science in R | Simplilearn
This Support Vector Machine in R tutorial video will help you understand what Support Vector Machines are, and the basics of the SVM kernel. You will look at a use case to learn SVM Algorithm with an example where we will classify horses and mules from a given data set using the SVM algori
From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]
Ramon van Handel: The mysterious extremals of the Alexandrov-Fenchel inequality
The Alexandrov-Fenchel inequality is a far-reaching generalization of the classical isoperimetric inequality to arbitrary mixed volumes. It is one of the central results in convex geometry, and has deep connections with other areas of mathematics. The characterization of its extremal bodie
From playlist Trimester Seminar Series on the Interplay between High-Dimensional Geometry and Probability
Data Science - Part IX - Support Vector Machine
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of Support Vector Machines in a more relatable and accessible manner. We will g
From playlist Data Science
Ex 1: Conic Section - Graph a Hyperbola with Center at the Origin (Horizontal)
This video provides an example of how to graph and find the major components of a hyperbola given the standard equation of the hyperbola. The hyperbola has a horizontal transverse axis. Site: http:/mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Graphing and Writing Equations of Hyperbolas
