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I would generally assume that parameter tuning is the process of finding the combination of hyperparameters (e.g., population size, crossover and mutation operators and rates, etc.) that yield the best performance on your problem. When you're thinking about the way that performance varies with parameter choice, this is the "what". What is the best ...


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I finally grasped the concept of word embedding. Thanks to @nbro, after reading the 2 articles s/he recommended What Are Word Embeddings for Text? and Word embeddings the 1st article gives me a good idea about the big picture of the Word Embeddings; whereas the 2nd article is actually the one which clears my mind. I am an visual person, I understand ...


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The specific term you are looking for is "word embedding" and not just "embedding". How to numerically represent textual data? Neural networks (typically) require as inputs (and produce as outputs) numerical data (i.e. numbers, vectors, matrices, or higher-dimensional arrays). So, when processing textual data, we first need to encode (or ...


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