Natural Language Processing Specialization

Use logistic regression, naïve Bayes, as well as give-and-take vectors to implement thought analysis, consummate analogies & interpret words.

Use dynamic programming, hidden Markov models, in addition to discussion embeddings to implement autocorrect, autocomplete & identify part-of-voice communication tags for words.

Use recurrent neural networks, LSTMs, GRUs & Siamese networks in Trax for thought analysis, text generation & named entity recognition.

Use encoder-decoder, causal, & self-attending to machine translate complete sentences, summarize text, make chatbots & enquiry-answering.

Natural Language Processing (NLP) is a subfield of linguistics, reckoner scientific discipline, and artificial tidings that uses algorithms to interpret in addition to manipulate human being language. 

This applied science is 1 of the well-nigh broadly applied areas of auto learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data. As AI continues to expand, so will the demand for professionals skilled at building models that analyze spoken language too linguistic communication, uncover contextual patterns, and create insights from text too sound.

By the cease of this Specialization, you lot will be cook to design NLP applications that perform inquiry-answering in addition to opinion analysis, create tools to interpret languages in addition to summarize text, and fifty-fifty build chatbots. These too other NLP applications are going to be at the forefront of the coming transformation to an 

AI-powered hereafter

This Specialization is designed as well as taught past 2 experts inwards NLP, car learning, too deep learning. 

Younes Bensouda Mourri

 is an Instructor of AI at Stanford University who as well helped build the 

Deep Learning Specialization

. 

Łukasz Kaiser

 is a Staff Research Scientist at Google Brain together with the co-writer of Tensorflow, the Tensor2Tensor and Trax libraries, together with the Transformer paper. 

This Specialization volition equip you lot alongside machine learning basics too land-of-the-art deep learning techniques needed to construct cutting-border NLP systems:

• Use logistic regression, naïve Bayes, together with discussion vectors to implement sentiment analysis, consummate analogies, translate words, too purpose locality-sensitive hashing to estimate nearest neighbors.

• Use dynamic programming, hidden Markov models, too give-and-take embeddings to autocorrect misspelled words, autocomplete partial sentences, together with identify office-of-speech tags for words.

• Use dense as well as recurrent neural networks, LSTMs, GRUs, in addition to Siamese networks inward TensorFlow together with Trax to perform advanced view analysis, text generation, named entity recognition, too to place duplicate questions. 

• Use encoder-decoder, causal, in addition to self-attention to perform advanced car translation of complete sentences, text summarization, interrogation-answering, together with to build chatbots. Learn T5, BERT, transformer, reformer, in addition to more with 🤗  Transformers!