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This is a formula sheet for "Coursera Natural Language Processing Specialization". Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning.
word embeddings, reformer, mathematics, GRU, chatbot, named entity recognition, hidden markov models, deep learning, naive bayes, cheat sheet, siamese networks, neural networks, attention, machine translation, autocorrect, minimum edit distance, autocomplete, machine learning, question answering, sentiment analysis, text generation, recurrent neural networks, viterbi algorithm, natural language processing, LSTM
word embeddings, reformer, mathematics, GRU, chatbot, named entity recognition, hidden markov models, deep learning, naive bayes, cheat sheet, siamese networks, neural networks, attention, machine translation, autocorrect, minimum edit distance, autocomplete, machine learning, question answering, sentiment analysis, text generation, recurrent neural networks, viterbi algorithm, natural language processing, LSTM
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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