Coursera - Natural Language Processing Specialization

WHAT YOU WILL LEARN
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words
Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words
Use recurrent neural networks, LSTMs, GRUs & Siamese network in TensorFlow & Trax for sentiment analysis, text generation & named entity recognition
Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering
SKILLS YOU WILL GAIN
Sentiment Analysis
Siamese Networks
Hidden Markov Model
Transformers
Attention Models
Machine Translation
Word Embeddings
Locality-Sensitive Hashing
Vector Space Models
Word2vec
Parts-of-Speech Tagging
N-gram Language Models
Homepage
https://www.coursera.org/specializations/natural-language-processing