Certificate in Artificial Intelligence: Language Analysis Essentials
-- ViewingNowThe Certificate in Artificial Intelligence: Language Analysis Essentials is a comprehensive course designed to equip learners with essential skills in AI language analysis. This program emphasizes the growing industry demand for AI professionals who can design and implement intelligent language applications.
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โข <strong>Natural Language Processing (NLP)</strong>: Introduction to NLP, understanding language as data, NLP applications
โข <strong>Text Preprocessing</strong>: Tokenization, stemming, lemmatization, stop words, cleaning text data
โข <strong>Feature Extraction</strong>: Bag of words, TF-IDF, word embeddings, word2vec, GloVe
โข <strong>Text Classification</strong>: Supervised learning, Naive Bayes, logistic regression, decision trees, neural networks
โข <strong>Named Entity Recognition (NER)</strong>: Identifying and categorizing entities in text, NER applications, NER algorithms
โข <strong>Sentiment Analysis</strong>: Extracting subjective information from text, opinion mining, sentiment analysis algorithms
โข <strong>Topic Modeling</strong>: Unsupervised learning, Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF)
โข <strong>Deep Learning for NLP</strong>: Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), attention mechanism
โข <strong>Transfer Learning and Pretrained Models</strong>: BERT, ELMo, RoBERTa, XLNet, Hugging Face Transformers
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