Information Theory (IT) as a basis for Machine Learning (ML)

Solve the game Mastermind using ML mathematical techniques. These include: IT, Simulated Annealing and Markov chains.
Udemy
platform
English
language
Math
category
instructor
Information Theory (IT) as a basis for Machine Learning (ML)
5
students
2.5 hours
content
Jan 2025
last update
$19.99
regular price

Why take this course?

继续上述内容,我们可以看到课程的结构和主题。在最后几节课中,我们将探讨如何将学习到的概率系统、信息论、金山-哈斯特(Metropolis-Hastings)算法和模拟退火(Simulated Annealing)等方法应用于其他游戏和工程问题。

以上就是整个课程的大致结构和内容概述。通过这个课程,学习者可以将所学知识应用于各种领域,从而解决实际问题并推动科学和工程领域的发展。

Course Gallery

Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 1
Screenshot 1Information Theory (IT) as a basis for Machine Learning (ML)
Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 2
Screenshot 2Information Theory (IT) as a basis for Machine Learning (ML)
Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 3
Screenshot 3Information Theory (IT) as a basis for Machine Learning (ML)
Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 4
Screenshot 4Information Theory (IT) as a basis for Machine Learning (ML)

Loading charts...

5926624
udemy ID
16/04/2024
course created date
15/07/2024
course indexed date
Bot
course submited by