I have been wanting to write this for a while, I believe ever since I started web development more than 15 years ago. Web Application Development is pretty frustrating mostly because of issues with the foundation technologies, HTML, CSS and JavaScript. Alone, they are pretty harmless and quite useful but when mixed together they seemed to step over their intended roles (CSS is pretty useless in a self-contained environment). The original intent of websites seemed to involve easily publishing text documents so that others could view information online. The documents also would have functionality to link to other documents. There you have a web of documents. The web of the mid-nineties was functional and didn't seem so bad. In 2011 so many features have been piled on top of past technology and now we are just left with this big pile of mud. Most content online is for presenting text information, like news reports or stock quotes, business profiles. But now businesses are put...
More random posts on ML: https://github.com/chetan51/linguist?tab=readme-ov-file https://github.com/chetan51/linguist https://github.com/as3445/NuPIC-Stock-Prediction https://github.com/ywcui1990/TrafficPrediction https://github.com/youngminpark2559/connections_between_HTM_video_and_NuPIC_code ==== https://www.cell.com/neuron/pdf/S0896-6273(17)30509-3.pdf Reinforcement Learning Alongside its important role in the development of deep learning, neuroscience was also instrumental in erecting a second pillar of contemporary AI, stimulating the emergence of the field of reinforcement learning (RL). RL methods address the problem of how to maximize future reward by mapping states in the environment to actions and are among the most widely used tools in AI research (Sutton and Barto, 1998). Although it is not widely appreciated among AI researchers, RL methods were
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