Machine learning in healthcare: From interpretability to a new human-machine partnership
Mihaela van der Schaar - University of Cambridge The transformative potential of machine learning could revolutionise areas such as healthcare. However, this opportunity comes with its own unique challenges. Prominent among these is the challenge of interpretability: taking the workings o
From playlist Interpretability, safety, and security in AI
Interpretability for Everyone - Been Kim
More videos on http://video.ias.edu
From playlist Mathematics
Scope Ambiguity - Semantics in Linguistics
We take a look at Scope Ambiguity in this #semantics and #syntax video in #linguistics. We look at logical form to see how we can represent this in a tree structure to get two meanings. We also look at a little trick of translating predicate logic sentences with more than one quantifier.
From playlist Semantics in Linguistics
Recognizing Persuasive Language
In this video, you’ll learn strategies for recognizing persuasive language. Visit https://edu.gcfglobal.org/en/digital-media-literacy/recognizing-persuasive-language/1/ to learn even more. We hope you enjoy!
From playlist Digital Media Literacy
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Listening
In this video, you’ll learn more about when to use "whose" and "who's" correctly in American English. Visit https://www.gcflearnfree.org/grammar/whos-or-whose/1/ for our text-based lesson. We hope you enjoy!
From playlist Grammar
Zachary Lipton: "Interpretability: of what, for whom, why, and how?"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Interpretability: of what, for whom, why, and how?" Zachary Lipton - Carnegie Mellon University Abstract: Historically, and particularly in the natural sciences, the mo
From playlist Machine Learning for Physics and the Physics of Learning 2019
How a video game designer is blurring the lines separating the real from the virtual
Lovers of video games have long embraced Gran Turismo, one of the most popular racing simulators in the world. The game, which runs on Sony’s PlayStation console, is so realistic that it has been used to train real race car drivers. Currently, Gran Turismo’s parent company, Polyphony Digit
From playlist CARS Open Garage Talk lecture series
Cross examination by prosecution
From playlist UNSW Law
Presuppositionalism and Natural Theology: A Critical Analysis
A guest reading by Riverrun of "Presuppositionalism and Natural Theology: A Critical Analysis of the Presuppositional Challenge to Natural Theology" by Prof. David Haines. Full text: https://www.academia.edu/17323489/PRESUPPOSITIONALISM_AND_NATURAL_THEOLOGY
From playlist Philosophy
From playlist UNSW Law
Interpretable Neural Networks for Panel Data Analysis in Economics | AISC
For slides and more information on the paper, visit https://ai.science/e/interpretable-neural-networks-for-panel-data-analysis-in-economics--fr9lyZxVFVPjoniQb1uR Speaker: Yucheng Yang; Host: Jiri Stodulka Motivation: Even though deep learning and sufficient amount of data may lead to st
From playlist ML in Economics
Will Troiani continues to introduce first order languages, interpretations and theories. You can join this seminar from anywhere, on any device, at https://www.metauni.org. This video was filmed in Deprecation (https://www.roblox.com/games/8164849103/Deprecation) on 7/1/22. This is a re-
From playlist Foundations seminar
Quantum Physics – list of Philosophical Interpretations
Explanation of the various interpretations of Quantum Mechanics. My Patreon page is at https://www.patreon.com/EugeneK 00:00 Introduction 00:29 Copenhagen Interpretation 02:08 Objective Collapse 04:41 EPR Paradox 06:11 Retro-Causality 07:28 Transactional Interpretation 10:25 Super-Determ
From playlist Physics
Python in Python: The PyPy System
(March 2, 2011) Armin Rigo discusses the research he has done to implement Python in Python. The new project, titled PyPy, can increase the speed at which programs run, as well as reduce the total memory that they use. He hopes that it can help advance the field of computer science as we m
From playlist Engineering
What makes AI Interpretable to a Human? [Lecture]
Towards A Rigorous Science of Interpretable Machine Learning: https://arxiv.org/abs/1702.08608 The mythos of model interpretability: https://arxiv.org/abs/1606.03490 Topic Model Overview: https://www.youtube.com/watch?v=fCmIceNqVog The Incoherence of Coherence: https://www.youtube.com/w
From playlist Machine Learning