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cp-algorithms.com | ||
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www.jeremykun.com
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| | | | | We are about to begin a series where we analyze large corpora of English words. In particular, we will use a probabilistic analysis of Google's ngrams to solve various tasks such as spelling correction, word segmentation, on-line typing prediction, and decoding substitution ciphers. This will hopefully take us on a wonderful journey through elementary probability, dynamic programming algorithms, and optimization. As usual, the code implemented in this post is available from this blog's Github page, and we encourage the reader to use the code to implement our suggested exercises. | |
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www.adamconrad.dev
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| | | | | Follow along with Steven Skiena's Fall 2018 algorithm course applied to the JavaScript language. | |
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jeremykun.com
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| | | | | Hard to believe Sanjeev Arora and his coauthors consider it"a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling."Christos Papadimitriou calls it"so hard to believe that it has been discovered five times and forgotten." It has formed the basis of algorithms inmachine learning, optimization, game theory, | |
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www.sebastiansylvan.com
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