The AI for humans series is some reasonable, high level approach. http://www.heatonresearch.com/aifh/ http://www.heatonresearch.com/aifh/ After you've got a gr

The AI for humans series is some reasonable, high level approach. http://www.heatonresearch.com/aifh/ http://www.heatonresearch.com/aifh/ After you've got a grasp of what these things are doing then you can move into the how. For that you will need some math background, with emphasis in calculus and probability. After that, you can take a look at PRML. https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 https://www.amazon.com/Pattern-Recognition-Learning-Informat... Some people might prefer seeing things from another approach. http://pgm.stanford.edu/ http://pgm.stanford.edu/ Good luck.