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| Topic | Deep Reinforcement Learning in Python! |
| IllegalAlien 06/02/18 11:16:17 PM #18: | treewojima posted... I've been coding as a hobby for the past 15+ years and have dabbled in everything from simple GUI apps to 2D tiling graphics engines to homegrown operating systems (x86 only). Where should I look to learn more about AI and data analysis? I would watch Andrew Ng's course material on Coursera, and read his lecture notes from Stanford if you want more rigorous treatment. Best thing to do: grab some data and do analysis with it. scikit-learn provides the Python API for (classical) machine learning, and is extremely easy to use. Keras, etc provide deep learning APIs. I like Keras API because it's simple and terse like scikit-learn. The hardest part is gaining intuition in the problem. This requires a decent understanding of the math and trial/error. I didn't know my agent was doing so poorly until I kept trying to make it better haha --- "Never argue with an idiot, they drag you down to their level, then beat you with experience." ... Copied to Clipboard! |
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