Find the reference angle of a angle larger than 2pi
👉 Learn how to find the reference angle of a given angle. The reference angle is the acute angle formed by the terminal side of an angle and the x-axis. To find the reference angle, we determine the quadrant on which the given angle lies and use the reference angle formula for the quadrant
From playlist Find the Reference Angle
Find the distance between two coordinate points ex 2
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Distance Formula given two points
In this video, we review how to calculate the distance if we are given the value of two points
From playlist Geometry
How to find the reference angle of an angle larger than 2pi
👉 Learn how to find the reference angle of a given angle. The reference angle is the acute angle formed by the terminal side of an angle and the x-axis. To find the reference angle, we determine the quadrant on which the given angle lies and use the reference angle formula for the quadrant
From playlist Find the Reference Angle
Determine the distance between two points using distance formula ex 1, A(3, 2) and B(6, 3)
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Find the distance between two coordinate points ex1
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Where does the distance formula come from
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Applying the distance formula to find the distance between two points
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Find the distance between the two coordinate points ex 1
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Three Clustering Algorithms You Should Know: k-means clustering, Spectral Clustering, and DBSCAN
This video explains three different unsupervised clustering algorithms: k-means clustering, spectral clustering, and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). Clustering algorithms are essential unsupervised learning techniques that aim to find groups of similar
From playlist Unsupervised Clustering Methods - Dr. Data Science Series
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. This section covers similarity - cosine, point wise mutual information, and more
From playlist Human Language (ANLY 540)
Data Mining: The Tool of The Information Age
Learn how to explore, analyze, and leverage data sets of any scale in this 60-minute webinar with Google's Search Scientist and Stanford Instructor Rajan Patel. Learn more: http://scpd.stanford.edu/courses/data-mining-courses.jsp
From playlist Engineering
IMT2681 Cloud Technologies: Webhooks, intro to MongoDB.
IMT2681 Cloud Technologies Paragliding distance calculations Webhooks Intro to MongoDB Assignment 1 and 2 comments
From playlist Archive - Cloud Computing
Lecture 5. Node centrality and ranking on networks.
Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/
From playlist Network Science, 2021
#MegaFavNumbers Theoretical Photons and the Journey of Improvement
In honour of #MegaFavNumbers, in this video I talk about my old #MegaFavNumber and take you on a journey of discovery in improving said number. The MegaFavNumbers Playlist: https://www.youtube.com/playlist?list=PLar4u0v66vIodqt3KSZPsYyuULD5meoAo *Corrections: Spotted by RP0: At 7:13 and
From playlist MegaFavNumbers
RubyConf 2010 - Spatial Programming for the Rubyist by: Peter Jackson
Spatial programming is the field that treats distance, space, and size as first-order programming concepts. Using spatial programming techniques, you can answer questions that are much more difficult -- or impossible -- to answer using standard object-relational (SQL) or document-oriented
From playlist RubyConf 2010
Paolo Boldi - Axioms for centrality: rank monotonicity for PageRank
https://indico.math.cnrs.fr/event/3475/attachments/2180/2562/Boldi_GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond
Introduction to SNA. Lecture 4. Node centrality and ranking on networks.
Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Status and rank prestige, PageRank,Hubs and Authorities. Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture4.pdf
From playlist Introduction to SNA
Determining the Distance Between a Plane and a Point
http://mathispower4u.yolasite.com/
From playlist Equations of Planes and Lines in Space
K-MEANS CLASSIFIER IN PYTHON! - CS50 Live, Ep. 53
Join CS50's Nick Wong for the first part to a new series on CS50 Live about neural networks, a hot topic in machine learning and artificial intelligence. In this episode, we explore the implementation of a k-means classifier from scratch, which allows us to group together prior images of s
From playlist CS50 on Twitch