In Course 2 of the Natural Language Processing Specialization, you will:
a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming,
b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics,
c) Write a better auto-complete algorithm using an N-gram language model, and
d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model.阅读更多.
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Natural Language Processing with Probabilistic Models 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Natural Language Processing with Probabilistic Models is a part of 一 structured learning path.
4 Courses
4 Months
Natural Language Processing
