Computing Limits from a Graph with Infinities
In this video I do an example of computing limits from a graph with infinities.
From playlist Limits
Will This Block Move? (Physics) #Physics #Shorts
#Physics #Math #Science #Engineering #Mechanics #NicholasGKK #Shorts
From playlist General Mechanics
A tongue-in-cheek look at the use of limits in the life sciences.
From playlist Life Science Math: Limits in calculus
The limit is the limit is the limit is the limit
Here I evaluate a neat infinite limit with l'Hopital's rule... does it work though? Subscribe to my channel: https://youtube.com/drpeyam Check out my TikTok channel: https://www.tiktok.com/@drpeyam Follow me on Instagram: https://www.instagram.com/peyamstagram/ Follow me on Twitter: https
From playlist Calculus
The Limit Does NOT Exist (Limit Example 4)
Epsilon Definition of a Limit In this video, I illustrate the epsilon-N definition of a limit by showing that the limit of (-1)^n as n goes to infinity does NOT exist. The method I present is more generally useful to show that a limit does not exist. Other examples of limits can be seen
From playlist Sequences
#Physics #Mechanics #Engineering #NicholasGKK #Shorts
From playlist General Mechanics
Finding Limits Precalculus Methods
Finding Limits using Precalculus Methods. We discuss using graphs, factoring, tables, rationalizing and direct substitution to find limits in this free math video tutorial by Mario's Math Tutoring. We also discuss what a limit is and why it sometimes doesn't exist. 0:50 Definition of a l
From playlist Limits
Differential Privacy and the 2020 Census in the United States
A Google TechTalk, presented by John Abowd, 2021/11/24 Privacy in ML Seminars - ABSTRACT: The talk focuses on the implementation of the differential privacy framework to protect confidentiality in the data products in the 2020 Census of Population and Housing. I present a high-level overv
From playlist Differential Privacy for ML
Rafał Kulik: Blocks estimators in Extreme Value Theory
Rafał Kulik, University of Ottawa 10 November 2022 Abstract: Extreme value theory deals with large values and rare events. These large values tend to cluster in case of temporal dependence. This clustering behaviour is widely observed in practice. I will start with a mild introduction to
From playlist SMRI Seminars
Quentin Berthet - Trade-offs in Statistical Learning
I will explore the notion of constraints on learning procedures, and discuss the impact that they can have on statistical precision. This is inspired by real-life concerns such as limits on time for computation, on reliability of observations, or communication b
From playlist Schlumberger workshop - Computational and statistical trade-offs in learning
Fellow Short Talks: Dr Quentin Berthet, Cambridge University
Quentin Berthet is a Lecturer in the Statslab, in the DPMMS at Cambridge, and a fellow of St John’s College, since 2015. He is a former student of the Ecole Polytechnique, received a Ph.D. from Princeton University in 2014, and was a CMI postdoctoral fellow at Caltech. RESEARCH Dr Berthe
From playlist Short Talks
Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
Ruth Heller: Optimal control of false discovery criteria in the general two-group model
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 03, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Interpreting an Independent Samples t Test – QBA Business Statistics
We begin with some troubleshooting about JASP and go into detail about how to interpret an independent samples t test, including how to interpret Levene’s test of homogeneity of variances as an assumptions check. Then I use the Stats Blocks to illustrate three important concepts in statist
From playlist Business Statistics Lectures (FA2020, QBA337 @ MSU)
Statistical Mechanics of Athermal Systems: Edwards Ensemble,... (Lecture 1) by Bulbul Chakraborty
PROGRAM ENTROPY, INFORMATION AND ORDER IN SOFT MATTER ORGANIZERS: Bulbul Chakraborty, Pinaki Chaudhuri, Chandan Dasgupta, Marjolein Dijkstra, Smarajit Karmakar, Vijaykumar Krishnamurthy, Jorge Kurchan, Madan Rao, Srikanth Sastry and Francesco Sciortino DATE: 27 August 2018 to 02 Novemb
From playlist Entropy, Information and Order in Soft Matter
Statistical Rethinking Fall 2017 - week08 lecture15
Week 08, lecture 15 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 12. Slides are available here: https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-15 Additional informatio
From playlist Statistical Rethinking Fall 2017
Statistical Learning: 5.5 More on the Bootstrap
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
Fundamental concepts of intrusion detection are discussed. Various types of intrusion are analyzed. Password management is explained.
From playlist Network Security