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blog.turingcollege.com | ||
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www.jeremykun.com
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| | | | | When addressing the question of what it means for an algorithm to learn, one can imagine many different models, and there are quite a few. This invariably raises the question of which models are "the same" and which are "different," along with a precise description of how we're comparing models. We've seen one learning model so far, called Probably Approximately Correct (PAC), which espouses the following answer to the learning question: | |
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www.analyticsvidhya.com
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| | | | | Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification. | |
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wp.sigmod.org
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juliawolffenotes.home.blog
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| | | Recently Terry Tao posted to the arXiv his paper Almost all Collatz orbits attain almost bounded values, which caused quite the stir on social media. For instance, this Reddit post about it is only a day old and already has nearly a thousand upvotes; Twitter is abuzz with tweets like Tim Gowers': (this sentiment seems... | ||
