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Opiniones y comentarios de aprendices correspondientes a Game Theory with Python por parte de Coursera Project Network

4.3
estrellas
75 calificaciones

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In this 2-hour long project-based course, you will learn the game theoretic concepts of Two player Static and Dynamic Games, Pure and Mixed strategy Nash Equilibria for static games (illustrations with unique and multiple solutions), Example of Axelrod tournament. You will be building two player Nash games and analyze them using Python packages Nashpy and Axelrod, especially built for game theoretic analyses. Also, you will gain the understanding of computational mechanisms related to the aforementioned concepts. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Principales reseñas

LM

4 de mar. de 2021

Good introduction and the exercises are very well structerd and the pace is easy to follow. Beware that the sound quality is not great.

OO

7 de ago. de 2020

a very interesting project to learn basics of python programming in game theory

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1 - 12 de 12 revisiones para Game Theory with Python

por Jorge S

9 de ago. de 2020

por oussama1995

8 de ago. de 2020

por Ahnaf T A

22 de ago. de 2020

por Pascal U E

21 de ago. de 2020

por Luís M B d M

4 de mar. de 2021

por Manojkumar

27 de sep. de 2020

por Wadekar S B

17 de ago. de 2020

por Jesus M Z F

28 de jul. de 2020

por Komal W

27 de jul. de 2020

por Buhong L

6 de sep. de 2020

por Shazia M S

14 de oct. de 2020

por Piotr Z

24 de ene. de 2021