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
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
(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
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 Critical Thinking
Decision Making: NLP Meta-Programs: Here I'll explain how to figure out how we use our brains to Reason, Gather Info, Deal with Stress, React, etc Original Article http://bit.ly/bcSnRu
From playlist Psychology Tutorials
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 Design Thinking
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
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
Marco Pavone: "On safe & efficient human-robot interactions via multimodal intent modeling & rea..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop II: Safe Operation of Connected and Autonomous Vehicle Fleets "On safe and efficient human-robot interactions via multimodal intent modeling and reachability-based safety assurance" Marco Pavone - Stanford Uni
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Take the full course: https://www.systemsinnovation.network/courses/7357542/ Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 Design thinking is a design process that enables us to solve complex problems. It combines deep end-user experience, systems thinking, iterative rapid
From playlist More
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 6 - Reinforcement Learning Primer
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Assistant Professor Chelsea Finn, Stanford University http://cs330.stanford.edu/ 0:00 Introduction 0:46 Logistics 2:31 Why Reinforcement Learning? 3:37 The Pla
From playlist Stanford CS330: Deep Multi-Task and Meta Learning
Mod-01 Lec-34 From Schumpeter to neo Schumpetarian evolutionism
History of Economic Theory by Dr. Shivakumar, Department of Humanities and Social Sciences IIT Madras, For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Madras: History of Economic Theory | CosmoLearning.org Economics
Dynamic Programming - Reinforcement Learning Chapter 4
Free PDF: http://incompleteideas.net/book/RLbook2018.pdf Print Version: https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=dp_ob_title_bk Thanks for watching this series going through the Introduction to Reinforcement Learning book! I think t
From playlist Reinforcement Learning
SystemModeler: Introducing the Business Simulation Library
Wolfram System Modeler and Modelica--the modeling language behind System Modeler--are not widely known in the system dynamics community, which is predominantly occupied with modeling social systems to tackle business and public policy issues. The new Business Simulation library (BSL) emplo
From playlist Wolfram Technology Conference 2020
System Dynamics: Systems Thinking and Modeling for a Complex World
MIT RES.15-004 System Dynamics: Systems Thinking and Modeling for a Complex World, IAP 2020 Instructor: James Paine View the complete course: https://ocw.mit.edu/RES-15-004IAP20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63Dur3imUjY08z92ypMphQ3 This one-day worksho
From playlist MIT OCW: RES.15-004 System Dynamics: Systems Thinking and Modeling for a Complex World, IAP 2020
Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming
Hado van Hasselt, Research scientist, discusses the Markov decision processes and dynamic programming as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
From playlist DeepMind x UCL | Reinforcement Learning Course 2018
Stanford Seminar - Towards Generalizable Autonomy: Duality of Discovery & Bias
Towards Generalizable Autonomy: Duality of Discovery & Bias Animesh Garg of Georgia Tech/NVIDIA October 21, 2022 Generalization in embodied intelligence, such as in robotics, requires interactive learning across families of tasks is essential for discovering efficient representation and i
From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar
Code-It-Yourself! Role Playing Game Part #3
Phew, almost done with this series now! In this video I introduce navigation, AI and quests to the role playing game. It's a bit code heavy this one, but I feel its an important step that shows how OOP (object oriented programming) can be exploited further to make developing reusable game
From playlist Code-It-Yourself!
Michael Hyland: "Integrating State-of-the-Art Mobility-on-Demand Fleet Models into Transportatio..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Integrating State-of-the-Art Mobility-on-Demand Fleet Models into Transportation System Simulation Tools for Policy Analysis" Michael Hyland - Uni
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
System Leadership in the Face of Dynamic Change
From the October 6th, 2017 Workforce & Learning Pathways In A Period Of Dynamic Change Conference; Banny Banerjee, Director fo the Stanford Change Labs in the H-STAR Institute looks at... 1. We are entering an era marked by rapid changes and profound questions. 2. Our dominant models of l
From playlist Workforce & Learning Pathways In A Period Of Dynamic Change Conference