This video shows how to use scale to determine the dimensions of a proportional model. http://mathispower4u.yolasite.com/
From playlist Unit Scale and Scale Factor
This video shows how to use unit scale to determine the actual dimensions of a model and how to determine the dimensions of a model from an actual dimensions. http://mathispower4u.yolasite.com/
From playlist Unit Scale and Scale Factor
Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)
This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com
From playlist Using the Definition of a Logarithm
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Definition of scale variable for SPSS, psychology/behavioral science & finance.
From playlist Types of Variables
21 Spatial Data Analytics: Spatial Scale
Subsurface modeling course lecture on scale.
From playlist Spatial Data Analytics and Modeling
Scales of Measurement - Nominal, Ordinal, Interval, & Ratio Scale Data
This statistics video tutorial provides a basic introduction into the different forms of scales of measurement such as nominal, ordinal, interval, and ratio scale data. My Website: https://www.video-tutor.net Patreon Donations: https://www.patreon.com/MathScienceTutor Amazon Store: htt
From playlist Statistics
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Pierre Alliez : Robust shape reconstruction through optimal transportation
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Numerical Analysis and Scientific Computing
Luis Scoccola (12/5/21): Density-sensitive and robust Vietoris-Rips filtrations
The Vietoris-Rips (VR) filtration is 1-Lipschitz with respect to the Gromov-Hausdorff distance. Although useful in many applications, this type of result presents two difficulties: VR cannot distinguish datasets that are metrically similar but whose density structure is significantly diffe
From playlist Vietoris-Rips Seminar
Michael Lesnick (2/23/2022): Stability of 2-Parameter Persistent Homology
We show that the standard stability results for union-of-balls, Čech, and Rips persistent homology have natural analogues in the 2-parameter setting, formulated in terms of the multicover bifiltration and Sheehy's subdivision bifiltrations. Our results imply that these bifiltrations are r
From playlist AATRN 2022
Self-organized formation of topologically robust grid cell modules from smooth.. by Sarthak Chandra
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
Many ways to lose your mind: Dimensions of robustness in noisy ... by Upi Bhalla
Information processing in biological systems URL: https://www.icts.res.in/discussion_meeting/ipbs2016/ DATES: Monday 04 Jan, 2016 - Thursday 07 Jan, 2016 VENUE: ICTS campus, Bangalore From the level of networks of genes and proteins to the embryonic and neural levels, information at var
From playlist Information processing in biological systems
Measurement Science in Stem Cell Research and Applications in Regenerative Medicine
Dr. Anne Plant, NIST speaks at the 2015 workshop "Characterizing Cell Populations through Dynamic Quantitative Imaging and Molecular Analysis: Challenges and Opportunities in Regenerative Medicine, Cell Therapy and Stem Cell Research"
From playlist UCSF-Stanford CERSI Lecture Series
StatGeoChem session 4 Outliers
Identification of outliers in multi-variate data
From playlist Statistical Geochemistry
Lecture 19: Modeling and Reverse Engineering
MIT HST.512 Genomic Medicine, Spring 2004 Instructor: Dr. Zoltan Szallasi View the complete course: https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/ YouTube Playlist: https://www.youtube.com/watch?v=_-gQchCLmXk&list=PLUl4u3cNGP613PJMNmRjAIdBr76goU1V5 Modeling and what mo
From playlist MIT HST.512 Genomic Medicine, Spring 2004
Micrometer/diameter of daily used objects.
What was the diameter? music: https://www.bensound.com/
From playlist Fine Measurements
A Compressed Overview of Sparsity
This talk presents a high level overview of compressed sensing, especially as it relates to engineering applied mathematics. We provide context for sparsity and compression, followed by good rules of thumb and key ingredients to apply compressed sensing.
From playlist Research Abstracts from Brunton Lab
This video is about the measures of center, including the mean, median, and mode.
From playlist Statistical Measures
Dr Nick Polydorides - University of Edinburgh
Bio Nick Polydorides is a Senior Lecturer in the Institute for Digital Communications, at the School of Engineering at Edinburgh University. He was joined Edinburgh in fall 2013 from the MIT-established Cyprus Institute where he was an Assistant Professor. Prior to that he held postdoctor
From playlist Short Talks