(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
How to Identify the Elements of a Set | Set Theory
Sets contain elements, and sometimes those elements are sets, intervals, ordered pairs or sequences, or a slew of other objects! When a set is written in roster form, its elements are separated by commas, but some elements may have commas of their own, making it a little difficult at times
From playlist Set Theory
(ML 3.1) Decision theory (Basic Framework)
A simple example to motivate decision theory, along with definitions of the 0-1 loss and the square loss. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1
The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit
From playlist Introduction to Machine Learning 101
Growth of disturbances in a pre-transitional boundary layer by Robin Joseph
DISCUSSION MEETING FLUIDS DAY ORGANIZERS: Rama Govindarajan, Samriddhi Sankar Ray and Gaurav Tomar DATE : 20 January 2020 VENUE: Ramanujan Lecture Hall, ICTS Bangalore The fluid mechanics community in Bangalore has expanded enormously with different physics and engineering departments
From playlist Fluids Day 2020
Set Theory (Part 3): Ordered Pairs and Cartesian Products
Please feel free to leave comments/questions on the video and practice problems below! In this video, I cover the Kuratowski definition of ordered pairs in terms of sets. This will allow us to speak of relations and functions in terms of sets as the basic mathematical objects and will ser
From playlist Set Theory by Mathoma
(ML 2.1) Classification trees (CART)
Basic intro to decision trees for classification using the CART approach. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Quantum Superposition, Explained Without Woo Woo
Start speaking a new language in 3 weeks with Babbel 🎉. Get up to 65% OFF your subscription ➡️ Here: https://go.babbel.com/12m65-youtube-thescienceasylum-nov-2021/default A common phrase in quantum mechanics is: "The electron is in multiple states at the same time." But it's actually a li
From playlist Quantum Physics
Is There An Atheist Personality Type? (Psychology of Atheism Part 2)
Thank you to Wondrium for sponsoring today's video! Signup for your FREE trial to Wondrium here: http://ow.ly/XJPo50LnlYY Psychology of Atheism Series: Part 1: https://youtu.be/UWhz3SXPWkg Part 2: https://youtu.be/xejfuTNov7Y Part 3: https://youtu.be/l74vKB10sQc Full PhD thesis: http://
From playlist Religious Studies
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Recorded 28 February 2023. Segev Wasserkug of IBM Research, Israel, presents "Democratizing Optimization Modeling: Status, Challenges, and Future Directions" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Note: IBM does not endorse any third parties referenced in the
From playlist 2023 Artificial Intelligence and Discrete Optimization
Paradoxes of Liberty - Amartya Sen (1981)
Amartya Sen theoretically discusses the meaning of Liberty and problems inherent in its definition. This talk was given in 1981 at Queen's University in the Chancellor Dunning Trust Lecture series. 00:00 Talk 1:00:21 Questions #Philosophy #PoliticalPhilosophy #Ethics
From playlist Social & Political Philosophy
Human Intelligence Needs Artificial Intelligence
(March 2, 2012) Dan Weld talks about the economic motivations behind artificial intelligence. He then describes how a sense of community and common purpose can be amplified by artificial intelligence techniques. Stanford University: http://www.stanford.edu/ Stanford School of Engineerin
From playlist Lecture Collection | Human-Computer Interaction Seminar (2011-2012)
(ML 11.2) Decision theory terminology in different contexts
Comparison of decision theory terminology and notation in three different contexts: in general, for estimators, and for regression/classification.
From playlist Machine Learning
From playlist Decision Tree Learning
1. Course Overview and Introduction (MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016)
MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016 View the complete course: http://ocw.mit.edu/15-S50IAP16 Instructor: Will Ma Will Ma gives an overview of the general topics and structure of the course, and begins the course by covering the basics of poker reasoning and play. Li
From playlist MIT 15.S50 How to Win at Texas Hold 'Em, IAP 2016
Nineteenth Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, March 24, 2021, 10:00am Eastern Time Zone (US & Canada) Speaker: Marcelo Pereyra, Heriot-Watt University Abstract: Play & Play (PnP) methods have become ubiquitous in Bayesian imaging. These methods derive Minimum Mean Square Error (MMSE) or Maximum A Posteriori (MAP) es
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016 View the complete course: http://ocw.mit.edu/15-S50IAP16 Instructor: Will Ma In this lecture, Will Ma outlines the differences between playing in tournaments and cash games. License: Creative Commons BY-NC-SA More information at h
From playlist MIT 15.S50 How to Win at Texas Hold 'Em, IAP 2016
Peter Binev - Learning Theory and Computational Microscopy - IPAM at UCLA
Recorded 15 September 2022. Peter Binev of the University of South Carolina presents "Learning Theory and Computational Microscopy" at IPAM's Computational Microscopy Tutorials. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/computational-microscopy-tutorials/?tab=schedu
From playlist Tutorials: Computational Microscopy 2022
Set Theory (Part 5): Functions and the Axiom of Choice
Please feel free to leave comments/questions on the video and practice problems below! In this video, I introduce functions as a special sort of relation, go over some function-related terminology, and also prove two theorems involving left- and right-inverses, with the latter theorem nic
From playlist Set Theory by Mathoma