Artificial intelligence has been adopted in many ways in the games industry over the past 30 years, but machine learning has never been considered practical until now. In this episode of AI 101 we discuss the fundamentals of what ML does, how it differs from traditional AI, what deep learning actually means, and the ways in which it is being put to good use in the industry.

[00:00] Intro
[01:54] What is Machine Learning?
[04:13] Different Approaches
[07:42] Why ML Wasn't Used in Games
[11:47] Modern Applications
[17:05] Closing
[17:45] Credits

All of my earlier videos mentioned in this one can be found in the new dedicated playlist on machine learning for video games:
   • Video  

Some resources to check out as well if you're keen to dive deeper:

'Artificial Intelligence: A Modern Approach' by Russell and Norvig (quoted from in this video)
https://aima.cs.berkeley.edu/

The DeepMind x UCL Deep Learning lecture series
   • DeepMind x UCL | Deep Learning Lectur...  

'Artificial Intelligence and Games' by Togelius and Yannakakis
http://gameaibook.org/

Deep Learning with Python by Chollet
https://www.manning.com/books/deeple...

Music in this episode is by TeknoAxe:
http://www.teknoaxe.com


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