Global Certificate in Natural Language Processing (NLP) Applications
-- ViewingNowThe Global Certificate in Natural Language Processing (NLP) Applications is a comprehensive course that equips learners with essential skills in NLP. This field is crucial as it deals with the interaction between computers and human language, enabling machines to understand, interpret, and generate human language in a valuable way.
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⢠Introduction to Natural Language Processing (NLP): Basics of NLP, NLP applications, and the importance of NLP in the modern world.
⢠Text Preprocessing: Tokenization, stemming, lemmatization, stop word removal, and other text preprocessing techniques.
⢠Natural Language Understanding (NLU): Named entity recognition, part-of-speech tagging, dependency parsing, sentiment analysis, and other NLU tasks.
⢠Natural Language Generation (NLG): Text generation, machine translation, and other NLG applications.
⢠Deep Learning in NLP: Neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM), gated recurrent units (GRUs), and transformers.
⢠Word Embeddings: Word2vec, GloVe, and other word embedding techniques.
⢠Transfer Learning and Pre-trained Models: BERT, RoBERTa, DistilBERT, and other pre-trained models.
⢠Question Answering Systems: Building and implementing question answering systems.
⢠Evaluation Metrics in NLP: Precision, recall, F1 score, accuracy, perplexity, and other evaluation metrics.
⢠Ethics in NLP: Bias, fairness, and ethical considerations in NLP applications.
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