Training for Data Scientists: NLP and Sequence Models

Ying Ma
Ying Ma
Sep 17 · 1 min read

For Data Scientist at Ro to get practical understanding of NLP and relevant algorithms.

Natural Language Processing (NLP) uses algorithms to understand and manipulate human language, and is a very specialized branch of Artificial Intelligence (AI) research. A lot of theories and practical approaches are developed solely to process language data, and as one of the most popular field of AI, the state-of-the-art NLP techniques are evolving very fast. The NLP Specialization course hosted by provides a systematic review of some major challenges of NLP problems and technical solutions behind each type of application.

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4 courses under the NLP specialization

This course requires a working knowledge of machine learning as well as a good understanding of deep learning framework. You can take the training on Deep Learning Specialization first before diving into this topic.

Additionally, the first 2 courses of NLP specialization cover some basics about using TensorFlow for deep learning, which is easy to learn and understand within the context. If you are jumping directly to the later courses, make sure you are prepared!

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