This lecture is on Introduction to Higher Mathematics (Proofs). For more see http://calculus123.com.
From playlist Proofs
What is a metric space? An example
This is a basic introduction to the idea of a metric space. I introduce the idea of a metric and a metric space framed within the context of R^n. I show that a particular distance function satisfies the conditions of being a metric.
From playlist Mathematical analysis and applications
Metric system explained part (2/2)
We demonstrate a method of putting prefixes on the meter, square meter and cubic meter! The method could potentially work for hyper cube meters as well!
From playlist Summer of Math Exposition Youtube Videos
Introduction to Metric Conversions
This video explains how to perform metric conversions using unit fractions and a table. http://mathispower4u.com
From playlist Unit Conversions: Metric Units
This lesson introduces the topic of scheduling and define basic scheduling vocabulary. Site: http://mathispower4u.com
From playlist Scheduling
Using Dimensional Analysis to Find the Units of a Constant
This video shows you how to use dimensional analysis to find the units for constants in physics and chemistry equations. For example, why are the units for the gravitational constant (G) newtons, meters squared over kilograms squared. Dimensional analysis in physics is an important tool t
From playlist Metric Units
Metric space definition and examples. Welcome to the beautiful world of topology and analysis! In this video, I present the important concept of a metric space, and give 10 examples. The idea of a metric space is to generalize the concept of absolute values and distances to sets more gener
From playlist Topology
Physical Science 2.3c - Two Systems of Measurement
Some comments on the English and Metric systems of measurement.
From playlist Physical Science Chapter 2 (Complete chapter)
BLEURT: Learning Robust Metrics for Text Generation (Paper Explained)
Proper evaluation of text generation models, such as machine translation systems, requires expensive and slow human assessment. As these models have gotten better in previous years, proxy-scores, like BLEU, are becoming less and less useful. This paper proposes to learn a proxy score and d
From playlist Papers Explained
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Cfhyya Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Sieb
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Evaluating Open-Domain Dialog | Shikib Mehri
Presented by Shikib Mehri, PhD Student at Carnegie Mellon University.
From playlist Level 3 AI Assistant Conference 2020
Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 12 - Natural Language Generation
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3nKbk4p To learn more about this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
Rasa Reading Group: What Will it Take to Fix Benchmarking in Natural Language Understanding (Part 2)
Part 1: https://www.youtube.com/watch?v=sBnmeEj6n4g This week we'll be continuing "What Will it Take to Fix Benchmarking in Natural Language Understanding?" by Samuel R. Bowman and George E. Dahl. It will appear at NAACL 2021. Link to paper: https://arxiv.org/abs/2104.02145 Learn more
From playlist Rasa Reading Group
Set Chasing, with an application to online shortest path - Sébastien Bubeck
Computer Science/Discrete Mathematics Seminar I Topic: Set Chasing, with an application to online shortest path Speaker: Sébastien Bubeck Affiliation: Microsoft Research Lab - Redmond Date: April 18, 2022 Since the late 19th century, mathematicians have realized the importance and genera
From playlist Mathematics
Stanford Seminar - Emerging risks and opportunities from large language models, Tatsu Hashimoto
Tatsu Hashimoto, Professor of Computer Science at Stanford University April 20, 2022 Large, pre-trained language models have driven dramatic improvements in performance for a range of challenging NLP benchmarks. However, these language models also present serious risks such as eroding use
From playlist Stanford CS521 - AI Safety Seminar
Cynthia Dwork - Affirmative action, Composition Pt. 1/2 - IPAM at UCLA
Recorded 12 July 2022. Cynthia Dwork of Harvard University SEAS presents "Affirmative action, Composition" at IPAM's Graduate Summer School on Algorithmic Fairness. Abstract: Are systems that are composed of pieces that are each fair necessarily fair in the aggregate? We will discuss compo
From playlist 2022 Graduate Summer School on Algorithmic Fairness
Classical IR | Stanford CS224U Natural Language Understanding | Spring 2021
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To learn more about this course visit: https://online.stanford.edu/courses/cs224u-natural-language-understanding To follow along with the course schedule and s
From playlist Stanford CS224U: Natural Language Understanding | Spring 2021
Introduction to Metric Spaces - Definition of a Metric. - The metric on R - The Euclidean Metric on R^n - A metric on the set of all bounded functions - The discrete metric
From playlist Topology
Lecture 13 – Evaluation Metrics | Stanford CS224U: Natural Language Understanding | Spring 2019
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Christopher Potts & Consulting Assistant Professor Bill MacCartney, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Potts Pr
From playlist Stanford CS224U: Natural Language Understanding | Spring 2019