Pure Language Processing Specialization

About this Specialization

Pure Language Processing (NLP) is a subfield of linguistics, laptop science, and synthetic intelligence that makes use of algorithms to interpret and manipulate human language.

This expertise is likely one of the most broadly utilized areas of machine studying and is crucial in successfully analyzing large portions of unstructured, text-heavy information. As AI continues to increase, so will the demand for professionals expert at constructing fashions that analyze speech and language, uncover contextual patterns, and produce insights from textual content and audio.

By the tip of this Specialization, you can be able to design NLP purposes that carry out question-answering and sentiment evaluation, create instruments to translate languages and summarize textual content, and even construct chatbots. These and different NLP purposes are going to be on the forefront of the approaching transformation to an AI-powered future.

This Specialization is designed and taught by two specialists in NLP, machine studying, and deep studying. Younes Bensouda Mourri is an Teacher of AI at Stanford College who additionally helped construct the Deep Studying Specialization. Łukasz Kaiser is a Employees Analysis Scientist at Google Mind and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

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