In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
Logical Reasoning: Become A Better Thinker
Logical thinking is also known as analytical reasoning, critical thinking or abstract thinking. It is an important trait, especially among developers in the software development industry. Without the logic, they would not understand how the software works, nor would they produce a clean co
From playlist Problem Solving
(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
In this video, you’ll learn about kinds of logical fallacies and how to spot them. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ to learn even more. We hope you enjoy!
From playlist Critical Thinking
(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
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 Making Decisions
Who Should Watch These? - Statistical Inference
In this video, I try to answer one question: Who should watch these videos on Statistical Inference? Watch to find out if that's you!
From playlist Statistical Inference
We begin our exploration into logic by analyzing LOGICAL STATEMENTS: 1) Define what a logical statement is 2) Recognize examples as logical statements or not logical statements 3) Use the symbols for "not", "and", and "or". 4) Break down a sentence into its logical structure. **********
From playlist Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
This video focuses on how to write the converse of a conditional statement. In particular, this video shows how to flip the hypothesis and conclusion of a conditional statement. The concepts of truth value and logical equivalence are explored as well. Your feedback and requests are encour
From playlist Geometry
“Choice Modeling and Assortment Optimization” - Session I - Prof. Huseyin Topaloglu
This module overviews static and dynamic assortment optimization problems. We start with an introduction to discrete choice modeling and discuss estimation issues when fitting a choice model to observed sales histories. Following this introduction, we discuss static and dynamic assortment
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Interval Type-2 (IT2) Fuzzy System and its Applications
Abstract: This talk will be delivered in two parts while the first part is a brief introduction of fuzzy logic systems from the control point of view while the second part is about the fuzzy-logic related applications. In the first part, the fuzzy logic system will be introduced and its fu
From playlist Fuzzy Logic
Expert System Advantages (1 of 2)
From playlist Decision Support Systems
From playlist Decision Support Systems
“Choice Modeling and Assortment Optimization” - Session II - Prof. Huseyin Topaloglu
This module overviews static and dynamic assortment optimization problems. We will start with an introduction to discrete choice modeling and discuss estimation issues when fitting a choice model to observed sales histories. Following this introduction, we will discuss static and dynamic a
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Explainable AI, Session 3: Explainability Options
Understand the challenges in generating explanations Outline options to explain machine learning models Specific options include using interpretable models, global model specific feature importance, and post-hoc explanations
From playlist Explainable AI (hands on)
IMS Public Lecture: Alan Turing, Computing, Bletchley, and Mathematics
Rod Downey, Victoria University of Wellington, New Zealand
From playlist Public Lectures
CSE 373 -- Lecture 23, Fall 2020
From playlist CSE 373 -- Fall 2020
Design thinking can improve anything from a water bottle to a community water system. See how design thinking improves the creative process, from Professor Stefanos Zenios: http://stanford.io/1mgkHGR
From playlist More
Sam Coogan, Georgia Tech Probabilistic guarantees for autonomous systems For complex autonomous systems subject to stochastic dynamics, providing absolute assurances of performance may not be possible. Instead, probabilistic guarantees that assure, for example, desirable performance with
From playlist Fall 2019 Kolchin Seminar in Differential Algebra