There is an ever-growing resource for learning about machine learning, DL, and of course DLR. The list is becoming very large, and there are many materials to choose from. For that reason, we will now summarize the areas we feel show the most promise for developing AI and DL for games:
- Basic Data Science Course: If you have never taken a basic fundamentals course on data science, then you certainly should. The foundations of understanding the qualities of data, statistics, probability, and variability are too numerous to mention. Be sure to cover this foundation first.
- Probabilistic Programming: This is a combination of various variational inference methods by which to answer problems given a probability of events with an answer of the probability that some event may occur. These types of models and languages have been used to analyze financial information...
