0154: Natural Language Processing with Attention Models

What you’ll learn In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into German using an encoder-decoder attention model b) Build a Transformer model to summarize text c) Use T5 and BERT models to perform question-answering, d) Build a chatbot using a Reformer model. By the end of […]

0156: Natural Language Processing with Probabilistic Models

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 d) Write your own Word2Vec […]

0157: Natural Language Processing with Classification and Vector Spaces

In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships c) Write a simple English-to-French translation […]